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International Conference on Acoustics, Speech, and Signal processing (ICASSP)

作者： Tian-Hu Yu S.K. Mitra Department of Electrical and Computer Engineering Signal and Image Processing Laboratory University of California Santa Barbara CA USA

An algorithm that removes impulse noise in images using a modified dynamic programming method is outlined. The restoration process combines two operations. In the first operation, the pixels corrupted by impulse noise are detected by a dynamic programming based searching strategy. In the second operation, the original gray levels of the noisy pixels are estimated by a linear interpolation or extrapolation approach. A separable process is used to detect the noisy pixels of the images. In order to preserve the details of the images and reduce the computational complexity of conventional dynamic programming, two modifications have been developed. One is called neighborhood searching with an adaptive figure of merit and the other is called overlapping block processing. The actual performance of the proposed technique is compared with that of the commonly used median filter by filtering noise-corrupted images. Some computational considerations are also discussed.< >

关键词： Dynamic programming image restoration Noise level Interpolation Extrapolation Pixel Computational complexity Filters Filtering

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A TECHNIQUE FOR THE VISUALIZATION AND ANALYSIS OF CARDIAC WALL MOTION BY TWO-DIMENSIONAL ECHOCARDIOGRAPHY

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IEEE TRANSACTIONS ON MEDICAL IMAGING 1989年第1期8卷 104-106页

作者： MELENDO, EG DELP, EJ Computer Vision and Image Processing Laboratory School of Electrical Engineering Purdue University West Lafayette IN USA

A technique is presented that can be used in the visualization and analysis of cardiac wall motion abnormalities by digital two-dimensional echocardiography. This technique is based on the use of a curvature function extracted from the endocardial boundary locations and can be used for shape or shape change analysis of the heart. The authors call the locations of high absolute curvature landmarks. Identification of landmarks on the endocardial boundary provides a simplified but powerful description of the boundary that allows visualization and analysis of wall motion. The simplification of the heart beating process is an excellent tool for the identification of infarcted areas of the heart.

关键词： Visualization Endocardium curvature function Cardiac wall motion 2D Echocardiography landmarks

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image segmentation using human visual system properties with applications in image compression

Image segmentation using human visual system properties with...

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Human vision, Visual processing, and Digital Display 1989

作者： Peterson, Heidi A. Rajala, Sarah A. Delp, Edward J. Computer Vision and Image Processing Laboratory School of Electrical Engineering Purdue University West LafayetteIN47907 United States Department of Electrical and Computer Engineering North Carolina State University RaleighNC27695 United States

Many image compression techniques involve segmentation of a gray level image. With such techniques, information is extracted that describes the regions in the segmented image, and this information is then used to form a coded version of the image. In this paper we present a region-growing-based segmentation technique that incorporates human visual system properties, and describe the use of this technique in image compression. We also discuss the effect of requantizing a segmented image. Requantization of a segmented image is useful because it can lead to a reduction in the number of bits required to code the description of the regions in the segmented image. This results in a lower data rate. We show that the number of gray levels in a segmented image can be reduced by a factor of at least twelve, without noticeable degradation in the quality of the segmented image. This result is attributable to human visual system properties having to do with contrast sensitivity, and to the fact that requantization of a segmented image does not usually reduce significantly the number of distinct segments in the image. In addition, in this paper we explore the relationship between the number of segments in an image, and the extent of requantization possible before noticeable degradation occurs in the image. Finally, we discuss the impact of the above results on image compression algorithms, and present some experimental results. © 1989 SPIE. All rights reserved.

关键词： image compression

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Digital processing of color images

Digital processing of color images

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Human vision, Visual processing, and Digital Display 1989

作者： Mitra, Sanjit K. Zarrinnaal, Iraj Wang, Yao Signal and Image Processing Laboratory Department of Electrical and Computer Engineering University of California Santa BarbaraCA93106 United States

Digital processing of black and white images has received most attention during the last 25 years, and has led to various algorithms for the enhancement, smoothing, and zooming of images. Due to the decreasing cost and increasing availability of color image acquisition and display equipment along with the computing systems of higher performance, it is expected that the digital processing of color images will rapidly grow in demand. In this paper we review our experiences with the processing of color images. In particular, algorithms for the contrast enhancement, smoothing and zooming of color images are investigated. The effects of applying these methods in color coordinates other than RGB are examined and considerations with respect to performance, time efficiency and compatibility with some popular algorithms developed for monochrome images are discussed. © 1989 SPIE. All rights reserved.

关键词： Color

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A generalization of morphological filters using multiple structuring elements

A generalization of morphological filters using multiple str...

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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： J. Song E.J. Delp Computer Vision and Image Processing Laboratory School of Electrical Engineering Purdue University West Lafayette IN USA Computer Vision and Image Processing Laboratory School of Electrical Engineering Purdue University West Lafayette IN USA

A new class of morphological filters is proposed for smoothing an image contaminated with noise. A multiple model that includes the combination of linear and nonlinear operations is used in the design of the new filter. The performance of the averaging version of this new filter is similar to that of the alpha-trimmed mean filter. The structure-preserving properties of this new filter depend on the values assigned to the coefficients in the filter. The idempotent property is obtained when a closing-min and opening-max version of the filter is used. The root structure of the output signal is also investigated.< >

关键词： Nonlinear filters Finite impulse response filter Filtering algorithms Gaussian noise Information filtering Information filters computer vision image processing Laboratories image edge detection

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Invariant reconstruction of visual surfaces

Invariant reconstruction of visual surfaces

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Workshop on Interpretation of 3D Scenes

作者： R.L. Stevenson E.J. Delp Computer Vision and Image Processing Laboratory School of Electrical Engineering Purdue University West Lafayette IN USA

This study addresses a problem that arises in the early stages of visual processing. Low-level vision processing tasks generate information describing distances and orientations at sparse locations of visible surfaces in a scene. The information from these various low-level tasks need to be combined to form an estimate of the visual surface for all points in the scene. This step is commonly referred to as the surface reconstruction problem. The problem is cast as an ill-posed inverse problem, which must be stabilized using a priori information relative to image and constraint formation. A desirable property of any reconstruction algorithm is invariance with respect to rigid transformations of the surface in three-dimensional space. Two surface reconstruction algorithms that are based on invariant surface characteristics are proposed. These algorithms are studied in detail, and an example is presented to demonstrate their effectiveness. The discrete realization of the algorithms is also briefly discussed.< >

关键词： Surface reconstruction image reconstruction Layout Reconstruction algorithms Face detection computer vision image processing Laboratories Inverse problems Object recognition

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The generalized morphological filter

The generalized morphological filter

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Asilomar Conference on Signals, Systems & computers

作者： Jisheng Song E.J. Delp Computer Vision and Image Processing Laboratory School of Electrical Engineering Purdue University West Lafayette IN USA

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A cost minimization approach to edge detection using simulated annealing

A cost minimization approach to edge detection using simulat...

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Conference on computer vision and Pattern Recognition (CVPR)

作者： H.L. Tan S.B. Gelfand E.J. Delp Computer Vision and Image Processing Laboratory School of Electrical Engineering Purdue University West Lafayette IN USA

Edge detection is analyzed as a problem in cost minimization. A cost function is formulated that evaluates the quality of edge configurations. A mathematical description of edges is given, and the cost function is analyzed in terms of the characteristics of the edges in minimum-cost configurations. The cost function is minimized by the simulated annealing method. A novel set of strategies for generating candidate states and a suitable temperature schedule are presented. Sequential and parallel versions of the annealing algorithm are implemented and compared. Experimental results are presented.< >

关键词： image edge detection Simulated annealing Cost function Pixel IEL Tin image segmentation

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An iterative growing and pruning algorithm for classification tree design

An iterative growing and pruning algorithm for classificatio...

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IEEE International Conference on Systems, Man and Cybernetics

作者： S.B. Gelfand C.S. Ravishankar E.J. Delp Computer Vision and Image Processing Laboratory School of Electrical Engineering Purdue University West Lafayette IN USA

An efficient iterative method is proposed to grow and prune classification trees. This method divides the data sample into two subsets and iteratively grows a tree with one subset and prunes it with the other subset, successively interchanging the roles of the two subsets. The convergence and other properties of the algorithm are established. Theoretical and practical considerations suggest that the iterative tree growing and pruning algorithm should perform better and require less computation than other widely used tree growing and pruning algorithms. Numerical results on a waveform recognition problem are presented to support this view.< >

关键词： Classification algorithms Iterative algorithms Classification tree analysis Algorithm design and analysis Testing computer vision image processing Laboratories Back Convergence

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Partial shape recognition: a landmark-based approach

Partial shape recognition: a landmark-based approach

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IEEE International Conference on Systems, Man and Cybernetics

作者： N. Ansari E.J. Delp Center for Communications and Signal Processing Electrical and Computer Engineering Department New Jersey Institute of Technology Newark NJ USA Computer Vision and Image Processing Laboratory School of Electrical Engineering Purdue University IN USA

A technique to guide landmark matching known as hopping dynamic programming is described. The location of the model in the scene is estimated with a least-squares fit. A heuristic measure is then computed to decide if the model is in the scene. The shape features of an object are the landmarks associated with the object. The landmarks of an object are defined as the points of interest of the object that have important shape attributes. Examples of landmarks are corners, holes, protrusions, and high-curvature points.< >

关键词： Shape measurement Layout computer vision Pattern recognition Signal processing image processing Laboratories Performance evaluation Least squares approximation Feature extraction

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