• Pratima Dubey
• Dr. Soni Changlani

The edge detection is a digital image processing technique to find the boundaries or edges of an image or object through the brightness discontinuity. There are many operators to get boundaries or edges but we need more effective and accurate methods. This paper will provide a comparison of Conventional Sobel, Prewitt, Roberts, Canny and Log Operators Edge Detector Techniques against Gaussian noise With regard to Mean Square Error (MSE), Root Mean Square Error (RMSE), signal to noise ratio (SNR) , peak signal to noise ratio (PSNR) , mean-absolute error (MAE) and Bit error, etc.

Sobel operator, Prewitt operator, Roberts operator, canny operator, log operator, Edge detection, mean square error (MSE), Root mean square error (RMSE) , mean-absolute error (MAE) ,signal to noise ratio(SNR), Peak signal to noise ratio(PSNR) and Bit error.

"Comparative Performance Analysis of various Digital Image Edge Detection Techniques Against Gaussian Noise", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 2, page no.d90-d94, February-2022, Available :http://www.jetir.org/papers/JETIR2202312.pdf

"Comparative Performance Analysis of various Digital Image Edge Detection Techniques Against Gaussian Noise", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 2, page no. ppd90-d94, February-2022, Available at : http://www.jetir.org/papers/JETIR2202312.pdf