An approach for applying a structural texture analysis method to automatic visual inspection of fabric samples in the textile industry is presented. The main steps (image preprocessing, image segmentation, model descr...
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The production process of keycaps may result in surface character defects. The existing keycap character defect detection technology has low efficiency and accuracy, hindering the automation of keycap manufacturing. A...
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Proteomics is defined as the large-scale characterization of protein sets expressed in a cell or tissue. Lately, proteomics has been broadly using two-dimensional gel electrophoresis for its analysis. It consists of m...
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Proteomics is defined as the large-scale characterization of protein sets expressed in a cell or tissue. Lately, proteomics has been broadly using two-dimensional gel electrophoresis for its analysis. It consists of migration and separation of molecules, placed in a gel, according to the strength of an electric field. In order to see these proteins, it is necessary to use some kind of reagent of revelation, which ends up resulting in a two-dimensional profile of spots. Afterwards, this gel is scanned and produces an image, and then this image may be analyzed. Usually, there is noise in this kind of image. Thinking on it, this work presents a technique using Fuzzy Logics to find spots.
Automatic image segmentation remains a challenging problem in the fields of computer vision, image analysis and understanding. A lot of algorithms and technologies have been proposed and developed for image segmentati...
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Summary form only given. In this research, we present a fast and efficient lossless compression scheme for discrete-color digital map images, charts, and graphs stored in the raster image format. The proposed scheme d...
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ISBN:
(纸本)9781424464258
Summary form only given. In this research, we present a fast and efficient lossless compression scheme for discrete-color digital map images, charts, and graphs stored in the raster image format. The proposed scheme determines the number of different colors in the given image and creates a separate bi-level data layer for each color. Then, the bi-level layers are individually compressed using the proposed algorithm. This scheme comprises two components: (i) a codebook; and (ii) our row-column reduction coding algorithm, RCRC. The codebook is a fixed-to-variable Huffman dictionary that is based on symbol entropy. The second component of our scheme is a new algorithm, the RCRC, designed to deal with those blocks that are not found in the codebook. Our experimental results show that our lossless compression scheme achieved an average compression equal to 0.035 bpp for map images and 0.03 bpp for charts and graphs. These results are better than most reported results in the literature. Moreover, our scheme is simple and fast.
Traditional display fashions of housing design mainly depend on static pictures, which are short of the intuition of house space and do not support interaction during design periods. This paper proposes a virtual hous...
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In this paper, we describe an adaptive lossless compression algorithm for color video sequences utilizing backward adaptive temporal prediction and an integer wavelet transform. We exploit two redundancies in color vi...
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