2019/09/30 by Victor Bogdan, Bogdan, Victor, Cosmin Bonchiş +3
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Digital Filter Design and Implementation #FOS: Computer and information sciences #Image and Object Detection Techniques #Image and Signal Denoising Methods #cs.CV
paper · pdf · doi:10.48550/arxiv.1910.00138
arxiv created 2019/09/30 · openalex publication_date 2019/09/30 · arxiv updated 2019/10/02 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Edge detection is widely and fundamental feature used in various algorithms in computer vision to determine the edges in an image. The edge detection algorithm is used to determine the edges in an image which are further used by various algorithms from line detection to machine learning that can determine objects based on their contour. Inspired by new convolution techniques in machine learning we discuss here the idea of extending the standard Sobel kernels, which are used to compute the gradient of an image in order to find its edges. We compare the result of our custom extended filters with the results of the standard Sobel filter and other edge detection filters using different image sets and algorithms. We present statistical results regarding the custom extended Sobel filters improvements.