Abstract preview: Image registration is the process of establishing correspondences between two or more images taken at different times, from different viewpoints, under different lighting conditions, and/or by differe ... more

Abstract preview: Print-scan resilient data hiding finds important applications in document security and image copyright protection. This paper proposes methods to hide information into images that achieve robustness a ... more

Abstract preview: We propose the use of texture motifs, or characteristic spatially recurrent patterns for modeling and detecting geospatial objects. A method is proposed for learning a texture motif model from object ... more

Abstract preview: In steganography (the hiding of data into innocuous covers for secret communication) it is difficult to estimate how much data can be hidden while still remaining undetectable. To measure the inherent ... more

Abstract preview: In this paper, we present a framework for the design of steganographic schemes that can provide provable security by achieving zero Kullback-Leibler divergence between the cover and the stego signal d ... more

Abstract preview: In this paper, we analyze the redundancy in calculating all pairs of geodesic distances on a rectangular grid. Fast marching method is an efficient way to estimate the geodesic distances from a point. ... more

Abstract preview: We propose an algorithm to generate one multi-focus image from a set of images acquired at different focus settings. First images are registered to avoid misalignment if needed. Then, best focus is es ... more

Abstract preview: Quantifying the deformation of retinal tissue after injury is crucial in understanding and characterizing the functional effect of cellular changes. We present a novel method to compute multiple quant ... more

Abstract preview: Our paper will present an analysis of the utility of multispectral imagery versus standard RGB imagery for routine H&Estained histopathology imagery, in particular for the classification of histol ... more

Abstract preview: We propose an algorithm to process images using their local information. Each image is tiled with overlapping neighborhoods. Then, each region is enhancement independently. The overlapping tiles are t ... more

Abstract preview: We propose a novel segmentation algorithm that can segment confocal micrographs of horizontal cells. A unique aspect of the algorithm is that it produces a probabilistic mask, or pmask, which gives fo ... more

Abstract preview: In this paper we propose a novel framework to obtain a very compact image signature (32 bits) which is invariant to rotation, translation, scaling and other minor perturbations like smoothing, random ... more

Abstract preview: Purpose: To develop an automated nuclei detection tool that provides reliable and consistently accurate results for counting cell nuclei. Methods: We propose a simple yet robust method to analyze lar ... more

Abstract preview: The difficult task of steganalysis, or the detection of the presence of hidden data, can be greatly aided by exploiting the correlations inherent in typical host or cover signals. In particular, sever ... more

Abstract preview: We present an automated method for the tracking and dynamics modeling of microtubules -a major component of the cytoskeleton- which provides researchers with a previously unattainable level of data an ... more

Abstract preview: We introduce the use of geodesic distances and geodesic radius for calculating pairwise similarities needed in various graph cuts based methods. By using geodesics on an edge strength function we are ... more

Abstract preview: Purpose: The retinoschisin knockout (RSKO) mouse is a model for the human disease of X-linked retinoschisis in which congenital delamination occurs through multiple retinal layers. A possible treatmen ... more

Abstract preview: The method of microtubule tracking and dynamics analysis, presented here, improves upon the current means of manual and automated quantification of microtubule behavior. Key contributions are increasi ... more

Abstract preview: Purpose: An increase in the intermediate filament proteins GFAP and vimentin occurs in Mueller cells after retinal detachment in humans and in animal models. Here we sought to characterize changes in ... more

Abstract preview: Purpose: To develop software tools that can be used for the enhancement and quantitative analysis of retinal images, and to test these methods on a large retinal image database. Methods: We have asse ... more

Abstract preview: Recent advances in bio-molecular imaging have afforded biologists a more thorough understanding of cellular functions in complex tissue structures. For example, high resolution fluorescence images of ... more

Abstract preview: We present a novel method to quantitatively analyze confocal microscope images of retinas. We automatically detect nuclei within the outer nuclear layer (ONL) in a retinal image. Based on nuclei detec ... more

Abstract preview: In many domains, the similarity between two images depends on the spatial locations of their features. The earth mover's distance (EMD), first proposed by Werman et al. [8], measures such similar ... more

Abstract preview: In this paper we introduce new type of variational segmentation cost functions and associated active contour methods that are based on pairwise similarities or dissimilarities of the pixels. As a solu ... more

Abstract preview: Microtubules are major components of the cytoskeleton and play an important role in a number of cellular functions such as maintaining cell shape, cell division and transport of various molecules. Abn ... more

Abstract preview: The activity of microtubules in cell structure has been of great importance in studying certain diseases and their treatments. For instance, promising anti-cancer drugs block cell division by stabiliz ... more

Abstract preview: The Bio-Image Informatics research program at UCSB is a collaborative effort funded by the National Science Foundation. The statistical computing problem we address in this paper is to tailor an appli ... more

Abstract preview: Comparison of images requires a distance metric that is sensitive to the spatial location of objects and features. Such sensitive distance measures can, however, be computationally infeasible due to t ... more

Abstract preview: Stathmin is a ubiquitous microtubule destabilizing protein that is believed to play an important role linking cell signaling to the regulation of microtubule dynamics. Here we show that stathmin stron ... more

Abstract preview: Live cell imaging technologies have advanced enormously over the past decade. However, in most cases, analysis remains a painstaking, tedious and largely manual task, limiting the quantity and quality ... more

Abstract preview: Fluorescence staining is the prevailing image acquisition technique in cell biology research. A problem of this method is the incidental fluorescence, that is the total fluorescence collected by a cam ... more

Abstract preview: Retinal detachment, the separation of retina from retinal pigmented epithelium, causes changes to many types of cells in retinal tissue. A successful modeling of these changes can help to understand t ... more

Abstract preview: The neural microtubule-associated protein tau binds directly to microtubules and regulates their dynamic behavior. In addition to being required for normal development, maintenance and function of the ... more

Abstract preview: We present a simple framework for image enhancement using local image information. The main idea is to divide the image into small tiles and individually enhance each of these tiles. Enhanced tiles ar ... more

Abstract preview: The rapid growth in the demand and consumption of the digital multimedia content in the past decade has led to some valid concerns over issues such as content security, authenticity, and digital right ... more

Abstract preview: Given a large collection of medical images of several conditions and treatments, how can we succinctly describe the characteristics of each setting? For example, given a large collection of retinal im ... more

Abstract preview: Image steganography, the covert embedding of data into digital pictures, represents a threat to the safeguarding of sensitive information and the gathering of intelligence. Steganalysis, the detection ... more

Abstract preview: We investigate data hiding techniques that attempt to defeat steganalysis by restoring the statistics of the composite image to resemble that of the cover. The approach is to reserve a number of host ... more

Abstract preview: A RANSAC based procedure is described for detecting inliers corresponding to multiple models in a given set of data points. The algorithm we present in this paper (called multiRANSAC) on average perfo ... more

Abstract preview: A novel framework for pruning a category of images is proposed in this paper. We assume no prior information about the contents or semantics of the images. Our framework discovers consistencies and kn ... more

Abstract preview: In this paper, we propose a novel multi-scale edge detection and vector field design scheme. We show that using multiscale techniques edge detection and segmentation quality on natural images can be i ... more

Abstract preview: Given a set of cell microtubule images taken at regular time intervals, individual microtubule positions can be tracked over time. This position data can then be analyzed to obtain event information f ... more

Abstract preview: Information technology research has played a significant role in the high-throughput acquisition and analysis of biological information. The tremendous amount of information gathered from genomics in ... more

Abstract preview: Microtubules (MTs), one of three major cytoskeletal components, serve numerous critical functions in cells. Mechanistically, MTs are not static polymers; rather, they can be very dynamic and their pre ... more

Abstract preview: We present a novel active contour-based tracking algorithm for highly deformable and fast moving curvilinear structures. We propose to use line features as external forces for the active contour for t ... more

Abstract preview: This paper presents an axiomatic approach to corner detection. In the first part of the paper we review five currently used corner detection methods (Harris-Stephens, Forstner, Shi-Tomasi, Rohr, and K ... more

Abstract preview: We introduce robust variational segmentation techniques that are driven by an Edgeflow vector field. Variational image segmentation has been widely used during the past ten years. While there is a ric ... more

Abstract preview: Print-scan resilient data hiding finds important applications in document security, and image copyright protection. In this paper, we build upon our previous work on print-scan resilient data hiding w ... more

Abstract preview: In this paper we study steganalysis, the detection of hidden data. Specifically we focus on detecting data hidden in grayscale images with spread spectrum hiding. To accomplish this we use a statistic ... more

Abstract preview: Retinal detachment, the separation ofthe neural retina from the retinal pigmented epithelium, starts a cascade ofevents that results in cellular changes throughout the retina. While the degeneration o ... more

Abstract preview: Retinal detachment induces Muller glia cell (MC) hypertrophy. Structural and immunolabeling data suggest a prominent role for the intermediate filament cytoskeleton in this process. There also may be ... more

Abstract preview: Purpose: Retinal detachment induces Muller cell hypertrophy both within the retina and as cellular membranes in the subretinal space. Structural and immunolabeling data suggest a prominent role for th ... more

Abstract preview: Information-theoretic analyses for data hiding prescribe embedding the hidden data in the choice of quantizer for the host data. In this paper, we propose practical realizations of this prescription f ... more

Abstract preview: We propose in this paper an interactive segmentation algorithm based on curve evolution techniques. The task of automated segmentation has proven to be highly complex and application dependent. User&# ... more

Abstract preview: This paper proposes a method to hide information into images that achieves robustness against printing and scanning with blind decoding. A significant contribution of this paper is a technique to esti ... more

Abstract preview: Recent advances in processing and networking capabilities of computers have led to an accumulation of immense amounts of multimedia data such as images. One of the largest repositories for such data i ... more

Abstract preview: Quantization index modulation (QIM) techniques have been gaining popularity in the data hiding community because of their robustness and information-theoretic optimality against a large class of attac ... more

Abstract preview: In this paper, we propose an affine-invariant method for describing and matching curves. This is important since affine transformations are often used to model perspective distortions. More specifical ... more

Abstract preview: In this paper, we apply the theory of hypothesis testing to the steganalysis, or detection of hidden data, in the least significant bit (LSB) of a host image. The hiding rate (if data is hidden) and h ... more

Abstract preview: Capturing and organizing vast volumes of images, such as scientific and medical data, requires new information processing techniques for context of pattern recognition and data mining. In content base ... more

Abstract preview: The primary goal of this thesis is to develop robust image segmentation methods based on variational techniques. Image segmentation is one of the fundamental problems in image processing and computer ... more

Abstract preview: In this paper we present a new physically motivated curve descriptor based on the solution of Helmholtz's equation. The descriptor satisfies the six principles set by MPEG-7: it has a good retrie ... more

Abstract preview: Video indexing based on motion is an emerging research area. While most previous work focused on video indexing using motion vectors, a detailed quantitative characterization of the spatial and tempor ... more

Abstract preview: Information technology research has played a significant role in the genomics revolution over the past decade, from aiding with large-scale sequence assembly to automating gene identification to effic ... more

Abstract preview: A fundamental challenge in applying texture features to statistical object modeling is recognizing differently oriented spatial patterns. Rows of moored boats in remote sensed images of harbors should ... more

Abstract preview: Our contribution in this paper is two-fold. First, we extend our previous curve evolution method based on pairwise similarities. This curve evolution equation combines the grouping abilities of active ... more

Abstract preview: Selecting salient points from two or more images for computing correspondences is a fundamental problem in image analysis. Three methods originally proposed by Harris et al., by Noble et al. and by Sh ... more

Abstract preview: Recent advances in processing and networking capabilities of computers have led to an accumulation of immense amounts of multimedia data such as images. One of the largest repositories for such data i ... more

Abstract preview: PURPOSE. To develop a digital library of immunofluorescence images of vertebrate retina. The long-term objective is to provide new imaging and information processing technologies allowing the creation ... more

Abstract preview: We describe recent research into using the visual primitive of texture to analyze and manage large collections of remote sensed image and video data. Texture is regarded as the spatial dependence of p ... more

Abstract preview: This paper presents an overview of our recent work on managing image and video data. The first half of the paper describes a representation for the semantic spatial layout of video frames. In particul ... more

Abstract preview: We present a system for automatically extracting the region of interest and controlling virtual cameras control based on panoramic video. It targets applications such as classroom lectures and video c ... more

Abstract preview: Selecting salient points from two or more images for computing correspondence is a well studied problem in image analysis. This paper describes a new and effective technique for selecting these tiepoi ... more

Abstract preview: This paper provides a summary of our work over the past two years on robust, high-volume data hiding in images. We first present a basic framework for image-adaptive hiding, which allows selection of ... more

Abstract preview: A novel scheme for image segmentation is presented. An image segmentation criterion is proposed that groups similar pixels together to form regions. This criterion is formulated as a cost function. Th ... more

Abstract preview: Effectiveness and efficiency are two important concerns in using multimedia descriptors to search and access database items. Both are affected by the dimensionality of the descriptors. While higher di ... more

Abstract preview: We consider the problem of hiding images in images. In addition to the usual design constraints such as imperceptible host degrada-tion and robustness in presence of variety of attacks, we impose the ... more

Abstract preview: In this paper we consider a hypothesis testing approach for detection of hiding in the least significant bit (LSB). This steganalysis problem is a composite hypothesis test-ing problem. We state a reg ... more

Abstract preview: Robust semantic labeling of image regions is a basic problem in representing and retrieving image/video content. We propose an SVM-MRF framework to model features and their spatial distributions, lead ... more

Abstract preview: We propose a video region segmentation scheme combin-ing spatio-temporal edges and watershed techniques. We consider the video sequence as a 3-D volume and compute color edges within this volume. Thes ... more

Abstract preview: Texture remains largely underutilized in the analysis of remote sensed datasets compared to descriptors based on the orthogonal spectral dimension. This paper describes our recent efforts towards usin ... more

Abstract preview: Texture has been recognized as an important visual prim-itive in image analysis. A widely used texture descrip-tor, which is part of the MPEG-7 standard, is that com-puted using multiscale Gabor filte ... more

Abstract preview: This work presents a novel approach to object localization in complex imagery. In particular, the spatial extents of objects characterized by distinct spatial signatures at multiple scales are estimat ... more

Abstract preview: We introduce the problem of repetitive nearest neighbor search in relevance feedback and propose an efficient search scheme for high dimensional feature spaces. Relevance feedback learning is a popula ... more

Abstract preview: This paper describes a framework for applying traditional data mining techniques to the non-traditional domain of image datasets for the purpose of knowledge discovery. In particular, perceptual assoc ... more

Abstract preview: Information-theoretic analyses for data hiding prescribe embedding the hidden data in the choice of quantizer for the host data. In this paper, we consider a suboptimal implementation of this presc ... more

Abstract preview: Image registration is an important operation in remote sensing applications that basically involves the identification of many control points in the images. As the manual identification of control poi ... more

Abstract preview: An image segmentation scheme that utilizes image-based flow fields in a curve evolution framework is presented. Geometric curve evolution methods require an edge function and a vector field with certa ... more

Abstract preview: A canonical model is proposed for object classes in aerial images. This model is motivated by the observation that geographic regions of interest are characterized by collections of texture motifs cor ... more

Abstract preview: This paper presents a unified approach to human activity capturing and recognition. It targets applications such as a speaker walking, turning around, sitting and getting up from a chair in a classroo ... more

Abstract preview: A method for video indexing and filtering based on motion activity characteristics in hierarchical levels is proposed. To extract motion activity information, an MPEG (MPEG-1/2) video is first adaptiv ... more

Abstract preview: A novel scheme for image segmentation is presented. An image segmentation criterion is proposed that gathers similar pixels together to form regions and creates boundaries between two dissimilar regio ... more

Abstract preview: This work introduces a conceptual representation for com-plex spatial arrangements of image features in large multi-media datasets. A novel data structure, termed the Spatial Event Cube (SEC), is form ... more

Abstract preview: We propose a canonical model for object classes in aerial images. This model is motivated by the observation that geographic regions of interest are characterized by collections of texture motifs corr ... more