2007

  1. Luca Bertelli, Baris Sumengen, B.S. Manjunath, Frederic Gibou,
    "A Variational Framework for Multi-Region Pairwise Similarity-based Image Segmentation"
    Accepted to IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2007.
     
  2. Dragomir Anguelov, Kuang-Chih Lee, Salih Burak Gokturk, and Baris Sumengen,
    "Contextual Identity Recognition in Personal Photo Albums"
    Proc. IEEE Computer Vision and Pattern Recognition Conference (CVPR) 2007, Minneapolis, MN

    2006

  3. Luca Bertelli, Baris Sumengen, B.S. Manjunath,
    "Redundancy in All Pairs Fast Marching Method"
    Proc. IEEE International Conference on Image Processing 2006 (ICIP06), Atlanta, GA USA, Oct. 2006.
    VRL ID: B-1, [abstract] [PDF] [BibTex]

    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]

  4. Dmitry Fedorov, Baris Sumengen and B. S. Manjunath,
    "Multi-Focus Imaging using Local Focus Estimation and Mosaicking"
    Proc. IEEE International Conference on Image Processing 2006 (ICIP06), Atlanta, GA USA, Oct. 2006.
    VRL ID: B-2, [abstract] [PDF] [BibTex]

    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]

  5. Dmitry Fedorov, Baris Sumengen and B. S. Manjunath,
    "Mosaicking based framework for local enhancement of bio imagery"
    Workshop on Multiscale Biological Imaging, Data Mining & Informatics, Santa Barbara, CA, USA, Sep. 2006.
    [abstract] [PDF] [BibTex]

    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]

  6. Jiyun Byun, Mark R. Verardo, Baris Sumengen, Geoffrey P. Lewis, B. S. Manjunath and Steven K. Fisher,
    "Automated tool for the detection of cell nuclei in digital microscopic images: Application to retinal images"
    Molecular Vision, http://www.molvis.org/molvis/v12/a107/, vol. 12, pp. 949-960, Aug. 2006.
    [abstract] [PDF] [BibTex]

    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]

  7. Baris Sumengen, Luca Bertelli and B.S. Manjunath,
    "Fast and Adaptive Pairwise Similarities for Graph Cuts-based Image Segmentation"
    Proc. IEEE CVPR Workshop on Perceptual Organization in Computer Vision (POCV), New York City, Jun. 2006.
    double-blind review
    VRL ID: 156, [abstract] [PDF] [BibTex]

    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]

  8. S. K. Fisher, J. Byun, D. Fedorov, N. Vu, B. Sumengen, M. Verardo, G. P. Lewis and B. S. Manjunath,
    "Image Informatics Tools for the analysis of Retinal Images"
    Invest Ophthalmol Vision Science 2006;47: Association for Research in Vision and Ophthalmology (ARVO) E-Abstract 4225, Fort Lauderdale, Florida, USA, Apr. 2006.
    abstract only
    VRL ID: 154, [abstract] [PDF] [BibTex]

    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]

  9. B. S. Manjunath, B. Sumengen, Z. Bi, J. Byun, M. El-Saban, D. Fedorov and N. Vu,
    "Towards Automated Bioimage Analysis: From Features to Semantics"
    Proc. IEEE International Symposium on Biomedical Imaging (ISBI), Crystal City, CA, Apr. 2006.
    Invited paper
    VRL ID: 151, [abstract] [PDF] [BibTex]

    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]

  10. J. Byun, N. Vu, B. Sumengen and B. S. Manjunath,
    "Quantitative analysis of immunofluorescent retinal images"
    Proc. IEEE International Symposium on Biomedical Imaging (ISBI), Crystal City, CA, Apr. 2006.
    VRL ID: 153, [abstract] [PDF] [BibTex]

    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]

  11. B. Sumengen and B. S. Manjunath,
    "Graph Partitioning Active Contours (GPAC) for Image Segmentation"
    IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), Apr. 2006.
    VRL ID: 150, [abstract] [PDF] [BibTex]

    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]

  12. Alphan Altinok, Baris Sumengen, B.S Manjunath and Kenneth Rose,
    "Reducing incidental fluorescence in live cell imaging"
    Technical Report, ECE, UCSB, 2006.
    [abstract] [PDF] [BibTex]

    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]

    2005

  13. Dmitry Fedorov, Baris Sumengen and B. S. Manjunath,
    "Tile-based framework for local enhancement of bio imagery"
    Technical Report, VRL, ECE, UCSB, Dec. 2005.
    [abstract] [PDF] [BibTex]

    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]

  14. B. Sumengen and B. S. Manjunath,
    "Category Pruning in Image Databases using Segmentation and Distance Maps"
    Proc. European Signal Processing Conference (EUSIPCO), Sep. 2005.
    VRL ID: 147, [abstract] [PDF] [BibTex]

    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]

  15. B. Sumengen and B. S. Manjunath,
    "Multi-scale Edge Detection and Image Segmentation"
    Proc. European Signal Processing Conference (EUSIPCO), Sep. 2005.
    VRL ID: 146, [abstract] [PDF] [BibTex]

    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]

    2004

  16. Baris Sumengen,
    "Variational Image Segmentation and Curve Evolution on Natural Images"
    Ph.D. Thesis, University of California, Santa Barbara, Sep. 2004.
    [abstract] [PDF] [BibTex] See also: #211, #212

    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]

  17. Baris Sumengen, Sitaram Bhagavathy and B. S. Manjunath,
    "Graph Partitioning Active Contours for Knowledge-Based Geo-Spatial Segmentation"
    IEEE CVPR Workshop on Perceptual Organization in Computer Vision (POCV), Washington, DC, Jun. 2004.
    VRL ID: 132, [abstract] [PDF] [BibTex]

    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]

    2003

  18. B. Sumengen, B. S. Manjunath, C. Kenney,
    "Image segmentation using multi-region stability and edge strength"
    Proc. IEEE International Conference on Image Processing (ICIP), Barcelona, Spain, vol. 3, pp. 429-432, Sep. 2003.
    VRL ID: 121, [abstract] [PDF] [BibTex] See also: #211, #212

    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]

    2002

  19. B. Sumengen, B. S. Manjunath, C. Kenney,
    "Image Segmentation using Curve Evolution and Flow Fields"
    Proc. IEEE International Conference on Image Processing (ICIP), Rochester, NY, USA, Sep. 2002.
    VRL ID: 107, [abstract] [PDF] [BibTex] See also: #212

    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]

  20. B. Sumengen, B. S. Manjunath, C. Kenney,
    "Image Segmentation using Curve Evolution and Region Stability"
    Proc. IEEE International Conference on Pattern Recognition (ICPR) 2002, Québec City, Canada, Aug. 2002.
    VRL ID: 105, [abstract] [PDF] [BibTex] See also: #211

    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]

    2001

  21. B. Sumengen, B. S. Manjunath, C. Kenney,
    "Image Segmentation using Curve Evolution"
    Asilomar Conference on Signals, Systems and Computers, Monterey, CA, vol. 2, pp. 1141-1145, Nov. 2001.
    VRL ID: 94, [abstract] [PDF] [BibTex] See also: #212

    Abstract preview: "A novel scheme for image segmentation is presented. The technique is based on the integration of ideas from geodesic active contours and a recently proposed edgeflow segmentation. Given an image a 2-D..." [more]

  22. S. Newsam, B. Sumengen, and B. S. Manjunath,
    "Category-Based Image Retrieval"
    Proc. IEEE International Conference on Image Processing (ICIP 2001), Thessalonica, Greece, pp. 596-599, Oct. 2001.
    Special Session on Multimedia Indexing, Browsing and Retrieval
    VRL ID: 88, [abstract] [PDF] [BibTex]

    Abstract preview: "This work presents a novel approach to content-based image retrieval in categorical multimedia databases. The images are indexed using a combination of text and content descriptors. The categories are..." [more]