文章基本信息

标题：Filtering Corrupted Image and Edge Detection in Restored Grayscale Image Using Derivative Filters
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作者：Mr. Chandra Sekhar Panda ; Professor Srikanta Patnaik
期刊名称：International Journal of Image Processing (IJIP)
电子版ISSN：1985-2304
出版年度：2009
卷号：3
期号：3
页码：105-119
出版社：Computer Science Journals
摘要：In this paper, different first and second derivative filters are investigated to find edge map after denoising a corrupted gray scale image. We have proposed a new derivative filter of first order and described a novel approach of edge finding with an aim to find better edge map in a restored gray scale image. Subjective method has been used by visually comparing the performance of the proposed derivative filter with other existing first and second order derivative filters. The root mean square error and root mean square of signal to noise ratio have been used for objective evaluation of the derivative filters. Finally, to validate the efficiency of the filtering schemes different algorithms are proposed and the simulation study has been carried out using MATLAB 5.0.
关键词：Derivative filter; Image denoising; Edge finding