Effective Non-Linear Prefiltering Method for Coloured Edge Detection of Noisy Images
Ranveer Kaur, Gurleen Kaur Dhaliwal · International Journal of Emerging Research in Management and Technology · 2018
This paper addresses a method to obtain color edge detection for images corrupted with Gaussian noise and impulse noise, to correctly reproduce distinct, continuous edges based on non-linear prefiltering followed by block-by-block rotations to locate the edges in all orientations. In this work our major goal is to eliminate the noise from noisy image as edges are the most important detailing areas in an image and addition of noise corrupt these edges which result in lack of clarity. In our proposed work we are proposing a efficient hybrid algorithm to preserve the edges of image based upon Canny operator. Our proposed scheme is based on rotation, median filtering and performing morphological thinning. This scheme is evaluated on basis of FOM(Figure Of Merit) parameter and our result are efficient than previous technique. This paper is divided into some sections.