Color Edge Detection Based on the Fusion of Intensity and Chromatic Differences
Mansoor Farooq, Ph.D., Computer Science and Engineering, Shri Venkateshwara University.
Manuscript received on February 02, 2020. | Revised Manuscript received on February 10, 2020. | Manuscript published on March 30, 2020. | PP: 1038-1041 | Volume-8 Issue-6, March 2020. | Retrieval Number: F7321038620/2020©BEIESP | DOI: 10.35940/ijrte.F7321.038620
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Edge detection is the name for a set of mathematical methods which target at classifying points in an image at which the image intensity varies sharply or, has discontinuities. The paper tries to find the solution for detecting color edges based on color and intensity information of two new images H-image and T-image crafted on color space transformation, that will produce two-resulted edges derivates of H-image and T-image and are at last coalesced to obtain final edge.
Keywords: Digital Image, Gaussian noise, Color Edge Detection.
Scope of the Article: Digital System and Logic Design.