This paper discusses a technique for locating the courtesy amount block on bank checks. In the analysis and recognition process, connected components in the image are identified first. Then, strings are constructed on...
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We present a new scheme for the restoration of faxed images degraded by both salient noise and additive white noise. We consider two fundamental aspects of faxed image restoration: Modeling and the restoration algorit...
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Since the amount of data required to represent visual information is large, enormous storage capacity is important. In view of this, a method of compressing and restructing an image based on a single, major feature fo...
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Since the amount of data required to represent visual information is large, enormous storage capacity is important. In view of this, a method of compressing and restructing an image based on a single, major feature found in the image is presented. The proposed method is a second generation method based on the restructuring of the source file in a more compact form without loss rather on exploiting aspects of the human visual system. The image domain for the evaluation of the technique is that of medical images recorded in a raster array format by a magnetic resonance scanner. An initial contour for the spiral is based on the outline derived from the major feature of the image. Finally, the rest of the contours are created from the initial contour.
作者：
Samet, H.Soffer, A.Computer Science Department
Center for Automation Research Institute for Advanced Computer Science University of Maryland at College Park College ParkMD20742 United States
A system for the acquisition, storage, indexing, and retrieval of map images is presented. The input to this system are raster images of separate map layers and map composites. A legend driven map interpretation syste...
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In recent years, there have been some attempts to extend one-dimensional hidden Markov model (HMM) to two-dimensions. This paper presents a new statistical model for image modeling and recognition under the assumption...
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A top-down page segmentation technique known as the recursive X-Y cut decomposes a document image recursively into a set of rectangular blocks. This paper proposes that the recursive X-Y cut be implemented using bound...
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This paper presents a new technique for the recognition of hand-printed Latin characters using machine learning. Conventional methods have relied on manually constructed dictionaries which are tedious to construct and...
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This paper deals with two different problems in processing.of text documents. Firstly, an integrated algorithm that finds a straight line approximation of a textual stroke is described. It has the advantage of using t...
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In this paper we present a segmentation algorithm for multichannel image analysis. It is based on a novel method that significantly improves the segmentation performance with respect to both homogeneity of the segment...
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In this paper we present a segmentation algorithm for multichannel image analysis. It is based on a novel method that significantly improves the segmentation performance with respect to both homogeneity of the segmented regions and precision of the segmented region boundaries. The algorithm yields excellent results in comparison with other segmentation algorithms that are based on feature space clustering followed by minimum distance classification, as will be shown in some segmentation examples. The main idea of the algorithm proposed here is the iterative feedback of the knowledge about the analysed image that has been obtained from preceding segmentation results. It needs just a stack of feature images and the indication of the number of required classes for input data. Therefore, it has a broad field of possible applications, especially in multichannel image analysis (1), (2).
Both the transmission and storage of digital image requires considerable expenditure in terms of bandwidth and/or memory resources. image compression techniques used for such purpose are classified into two groups;(a)...
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Both the transmission and storage of digital image requires considerable expenditure in terms of bandwidth and/or memory resources. image compression techniques used for such purpose are classified into two groups;(a) lossless techniques, and (b) lossy techniques. Such techniques produce multiband images in which redundancy exists in three forms;(a) statistical redundancy, (b) correlation redundancy, and (c) interband redundancy. The reduction of statistical redundancy and correlation redundancy within an image has been extensively addressed by previous studies. Hence, the present work tackles interband redundancy. This type of redundancy is analysed using two schemes developed for such purpose.
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