Abstract
A novel edge detection technique for color images is presented in this paper. In the proposed method, contemporary fuzzy logic is used to implement a relative pixel similarity value algorithm. The smoothness of each pixel is calculated in four directions by use of weighted similarity rules and is normalized to maximum gray level. In other words, image in three dimensional color spaces is mapped into one dimension. Accordingly, thresholding technique is used to find and highlight the edges associated with the image. The pixels lower than the threshold values are assumed to be edges. Thus with proposed method, edge pixels in a color image are detected simultaneously without any complex calculations such as gradient, Laplace and statistical calculations.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
