Edge detection for biomedical images: A self-adaptive and randomized operator

Most of the time segmentation methods involving a contour approach need several thresholds. This arises many problems in automating the process for biomedical imagery (such as morphometry). We give some examples of well known operators in section II. In section III, we present our algorithm which is a randomized operator without any threshold and we describe how to implement it and how to choose criteria in order to obtain the contour image. We finally give some improvements in section IV, and we conclude by the perspectives on this new approach.