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2012 IEEE Southwest Symposium on Image Analysis and Interpretation

22-24 April 2012

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  • [Front cover]

    Publication Year: 2012, Page(s): c1
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  • [Copyright notice]

    Publication Year: 2012, Page(s): ii
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  • [Title page]

    Publication Year: 2012, Page(s): i
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  • Organizing committee

    Publication Year: 2012, Page(s): iii
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  • [Blank page]

    Publication Year: 2012, Page(s): iv
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  • Table of contents

    Publication Year: 2012, Page(s):v - x
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  • Detection of breast tumor candidates using marker-controlled watershed segmentation and morphological analysis

    Publication Year: 2012, Page(s):1 - 4
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (277 KB) | HTML iconHTML

    Computer Aided Diagnosis (CAD) was approved to automate breast cancer detection with mammograms in 1998. But due to the great variability in tumor sizes and shapes, and underlying breast tissue structures, pattern recognition algorithms have a difficult time adapting to different situations. In this paper, a marker-controlled watershed segmentation algorithm was developed to locate breast mass tum... View full abstract»

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  • Adaptive kernel learning for detection of clustered microcalcifications in mammograms

    Publication Year: 2012, Page(s):5 - 8
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (265 KB) | HTML iconHTML

    Adaptive kernel learning is a Bayesian learning technique developed recently, which can be viewed as a variant of the well known relevance vector machine (RVM). The purpose of adaptive kernel learning is to automatically optimize the parameters associated with the kernel basis functions in a predictive model. In this paper, we explore the use of adaptive kernel learning for detection of clustered ... View full abstract»

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  • Using segmentation in CT metal artifact reduction

    Publication Year: 2012, Page(s):9 - 12
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1145 KB) | HTML iconHTML

    Metal artifact reduction methods in computed tomography replace the projection data passing through metals with an estimate of the true data. Inaccurate estimation leads to the generation of secondary artifacts. Data estimates can be improved by the use of prior knowledge of the projection data. In this paper, a method has been created to generate a prior image. The method uses computer vision tec... View full abstract»

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  • Detection of hard exudates and red lesions in the macula using a multiscale approach

    Publication Year: 2012, Page(s):13 - 16
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (557 KB) | HTML iconHTML

    Diabetic retinopathy (DR) is a complication of diabetes that causes blindness to 1.8 million people in the world. The risk of vision loss from DR increases when pathologies present on the macula. In this paper, we present an automatic system to detect pathologies on the macula such as hard exudates microaneurysms, and hemorrhages. Our approach is a bottom-up implementation, which tries to capture ... View full abstract»

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  • Automated nuclei tracking in C. elegans based on spherical model fitting with multiple target tracking

    Publication Year: 2012, Page(s):17 - 20
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (360 KB) | HTML iconHTML

    We present a method for tracking nuclei of C. elegans cells in three dimensional time lapse (4D) data during embryogenesis. It is based on spherical model fitting with multiple target tracking. The algorithm tracks nuclei in a local search space, detects cell division, and searches for newborn sister cells locally. It tracks multiple candidates and postpones the decision to select the newborn sist... View full abstract»

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  • A maximum-likelihood approach for ADC estimation of lesions in visceral organs

    Publication Year: 2012, Page(s):21 - 24
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (165 KB) | HTML iconHTML

    Accurate estimation of the apparent diffusion coefficient (ADC) of lesions in diffusion-weighted magnetic resonance imaging (DWMRI) is important to predict and monitor anticancer therapy response. The task of ADC estimation of lesions is complicated due to noise in the image, different variances in signal strengths at different b values and other random phenomena. In organs that have visceral moti... View full abstract»

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  • Generating a statistical shape model of the AIDS virus spike

    Publication Year: 2012, Page(s):25 - 28
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (833 KB) | HTML iconHTML

    We introduce a method to automatically extract the spike features of the AIDS virus imaged through an electron microscope. This method detects the location of the spikes and extracts a sub-volume enclosing the spike with a sensitivity of 80%. The extracted spikes are further aligned and combined to build a 4D statistical shape model, where each voxel in the shape model is assigned a probability de... View full abstract»

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  • A hybrid watershed method for cell image segmentation

    Publication Year: 2012, Page(s):29 - 32
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (397 KB) | HTML iconHTML

    In cytological evaluation of cells, the nuclear characteristics present significant opportunities for early detection of abnormalities arising from various types of cancer. Accurate representation of cell nuclear structure by traditional manual inspection is difficult and time-consuming. In this paper, we introduce a new semi-automated cell segmentation algorithm combining a histogram-based global... View full abstract»

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  • Cell splitting using dynamic programming

    Publication Year: 2012, Page(s):33 - 36
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (358 KB) | HTML iconHTML

    Cell detection and segmentation is an essential step in many biological studies. Unfortunately, automatic splitting of merged cells continues to be one of the most challenging problems. We present an algorithm for splitting two adjacent cells using geometric analysis as well as a dynamic programming approach to find the optimum path. The algorithm is compared with Al-Kohafi's algorithm, which uses... View full abstract»

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  • Size-invariant cell nucleus segmentation in 3-D microscopy

    Publication Year: 2012, Page(s):37 - 40
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (565 KB) | HTML iconHTML

    Accurate segmentation of 3-D cell nuclei in microscopy images is an essential task in many biological studies. Traditional image segmentation methods are challenged by the complexity and variability of microscope images, so there is a need to improve segmentation accuracy and reliability, as well as the level of automation. In this paper we present a novel automated algorithm for robust segmentati... View full abstract»

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  • A method of compensating inter-reflections in color photometric stereo

    Publication Year: 2012, Page(s):41 - 44
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (909 KB) | HTML iconHTML

    In photometric stereo inter-reflections inside the object may blur the images in shade, resulting in blurred shapes. They may occur in the concave surface parts while they may not in the convex parts, and as the curvature of the concavity increases, the effects may be more serious. In this paper, we introduce an image filtering function in the process of shape reconstruction from color images, to ... View full abstract»

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  • A cytoskeleton linearity measure

    Publication Year: 2012, Page(s):45 - 48
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (416 KB) | HTML iconHTML

    We developed a measure of cytoskeletal linearity in order to study the biological properties of normal and hyperphosphorylated Microtubule Associated Protein Tau (MAPT). The effect of site-specific tau phosphorylation on the microtubule network was examined and the stability of the actin cytoskeletal was evaluated to determine its state under the influence of P-tau. A custom ImageJ plugin using th... View full abstract»

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  • Combining multiple visual processing streams for locating and classifying objects in video

    Publication Year: 2012, Page(s):49 - 52
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (779 KB) | HTML iconHTML

    Automated, invariant object detection has proven itself to be a substantial challenge for the artificial intelligence research community. In computer vision, many different benchmarks have been established using whole-image classification based on datasets that are too small to eliminate statistical artifacts. As an alternative, we used a new dataset consisting of ~62GB (on the order of 40,000 2Mp... View full abstract»

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  • Single image super-resolution in frequency domain

    Publication Year: 2012, Page(s):53 - 56
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (338 KB) | HTML iconHTML

    This paper presents a neighborhood dependent components based feature learning (NDCFL) for regression analysis in single image super-resolution. Given a low resolution input, the method uses directional Fourier phase feature components to adaptively learn the regression kernel based on local covariance to estimate the high resolution image. Although this formulation resembles other regression and ... View full abstract»

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  • Spatially adaptive superresolution using the optimal recovery framework

    Publication Year: 2012, Page(s):57 - 60
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (338 KB) | HTML iconHTML

    Multi-Frame image restoration is a form of Super-Resolution (SR) which consists of combining multiple Low-Resolution (LR) images in order to reconstruct a single High-Resolution (HR) image. Our previous approach to SR based on the framework of optimal recovery is extended to a spatially adaptive scheme whereby the block-by-block processing is modified based on the properties of the corresponding l... View full abstract»

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  • Improving stability and invariance of Cartesian Zernike moments

    Publication Year: 2012, Page(s):61 - 64
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (356 KB) | HTML iconHTML

    Zernike moments are widely used in shape retrieval, recognition and classification. The rotational invariance property of Zernike moments is very simple to achieve, due to their separable magnitude-phase property. However, Zernike moments are not directly invariant to scale and translation. Recently Cartesian Zernike moments invariants (CZMI) were introduced to directly make Zernike moments invari... View full abstract»

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  • Segmentation-free word spotting using SIFT

    Publication Year: 2012, Page(s):65 - 68
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1188 KB) | HTML iconHTML

    This paper presents a method for word spotting using SIFT. The method performs well for multi-lingual document images and it works without skew correction and without any segmentation process. The algorithm for detecting words in test images is described, including the processes of detecting keypoints, matching them, and clustering matching pairs. Experiments on English and Korean document image c... View full abstract»

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  • On the sensitivity of spatio-temporal interest points to person identity

    Publication Year: 2012, Page(s):69 - 72
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (151 KB) | HTML iconHTML

    Spatio-temporal interest points (STIPs) have recently become a mainstream technique for encoding human action video sequences. These local features overcome the complex issues of background subtraction and human tracking, and encode relevant motion information for recognition. Nonetheless, STIPs may result not only from actions themselves but from other factors such as person identity. This paper ... View full abstract»

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  • Temporal multi-modal mean

    Publication Year: 2012, Page(s):73 - 76
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (411 KB) | HTML iconHTML

    A temporal reasoning technique is presented for scene analysis. Rather than simply classifying everything in a scene as either dynamically moving foreground or long-lasting, stationary background, a temporal model is used to place each scene object in time relative to each other. It attributes each scene object with temporal information, such as object age and observability (i.e., how often it is ... View full abstract»

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