Abstract: Edges define boundaries and are of fundamental importance in image processing. Edge detection is an important feature of image processing which is used for object extraction and finding out minute parts in applications like medical, mining, production etc. Image Edge detection significantly reduces the amount of data and filters out useless information, while preserving the important structural properties in an image. It is therefore important to find even the sensitive edges present in an image. An effort in this regard results a proposal of an edge detection algorithm which not only detects the minute edges present in the image which is very hard to detect from the existing methods, but also proves its efficiency in object extraction. A comparison with a few familiar methods is done in order to prove the efficiency and capability of the proposed method which completely suppresses the background and enhances object extraction.