• ANUPAM SINGH DILWALIA
• Dr.A.P. CHAUDHARI
• Prof. G.K.MAHAJAN

Edge detection stands as a cornerstone in image processing, serving to delineate the boundaries of objects within an image. Its significance reverberates across various domains such as image processing, computer vision, and machine vision, facilitating tasks like image segmentation and data extraction. An edge signifies a shift in intensity within an image, while edge detection involves partitioning the image into distinct regions of discontinuity. In the realm of research, various operators like Sobel, Perwitt, Roberts, Log, and Canny are employed to identify edges in digital images. These operators are compared using metrics like Mean Squared Error (MSE), Peak Signal-to-Noise Ratio (PSNR), and Signal-to-Noise Ratio (SNR), revealing the superiority of the Canny operator for edge detection. Notably, the Canny operator's multi-stage approach enables simultaneous edge detection and noise reduction. The study also explores applications utilizing edge detection alongside a further analysis facilitated through Matlab GUI.

Edge Detection, Digital image, operator, Sobel, Perwitt, Roberts, Canny, Log, GUI, MSE, PSNR, SNR

"Edge Detection with different Parameters in Digital Image Processing using GUI", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 7, page no.i374-i383, July-2024, Available :http://www.jetir.org/papers/JETIR2407836.pdf

"Edge Detection with different Parameters in Digital Image Processing using GUI", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 7, page no. ppi374-i383, July-2024, Available at : http://www.jetir.org/papers/JETIR2407836.pdf