期刊名称：International Journal of Advanced Research In Computer Science and Software Engineering
印刷版ISSN：2277-6451
电子版ISSN：2277-128X
出版年度：2013
卷号：3
期号：5
出版社：S.S. Mishra
摘要：Adaptive Histogram Equalization and Edge detection techniques for particle analysis, a comparative study have been shown and a new algorithm is proposed for removing the problem of non-uniform background illumination in biological images such as visualizing and estimation of growth of a fungus in a particular sample to transform the input image to its indexed form with maximum accuracy involving morphological openings and structuring element design using Morphological Opening. For applications, including particles/objects to be studied or analyzed, these techniques give faulty results due to changes in actual shapes and sizes of the particles in the resulting image. Morphology is related to the shapes and digital morphology is a way to describe and analyze the shape of a digital object. In biology, morphology relates more directly to shape of an organism such as bacteria. Morphological opening is a name specific technology that creates an output image such that value of each pixel in the output image is based on a comparison of the corresponding pixel in the input image with its neighbors. Other techniques include edge detection using sobel and canny filters, and other sharpening filters that enhance the edges of the objects present in the image. A new algorithm for object extraction, boundary tracing and image enhancement have been proposed based on combination of Morphology, Weiner filters and thresholding techniques
关键词：Boundary detection; Morphology; Weiner Filters; Smoothing and sharpening filters
