Design Strategies for EDGE Based Image Representation System with VLSI

S. Dixit, A. Deshmukh
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引用次数: 2

Abstract

Edges of image characterize the boundaries. It reduces amount of data and filters out useless information. It preserves structural properties of an image. Edge detection is useful for segmentation of objects, its registration and identification. So image processing algorithms are defined. Early state detection of image has been tried using VLSI architecture. A normal image and disease affected image are compared and percentage of disease has been tried to find out. Edge detection operators such as Sobel, Prewitt, Canny Edge Detector are used. Filtering of images include the elimination of noise, enhancing the edges and contours. Fast operations and efficient implementation will be considered while designing the algorithm.
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基于EDGE的VLSI图像表示系统设计策略
图像的边缘是边界的特征。它减少了数据量,过滤掉了无用的信息。它保留了图像的结构属性。边缘检测对物体的分割、配准和识别都很有用。因此定义了图像处理算法。利用VLSI架构对图像的早期状态检测进行了尝试。将正常图像与疾病影响图像进行比较,并试图找出疾病的百分比。边缘检测算子如Sobel, Prewitt, Canny边缘检测器被使用。图像的滤波包括消除噪声、增强图像的边缘和轮廓。在设计算法时要考虑快速运算和高效实现。
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