Finding borders of interests in both normal and abnormal images might be helpful for physician to make decision of an image being normal or abnormal. Also, in some points instead of entire images these detected borders can be considered for processing. In this paper, the author proposed the Fisher Transform Method (FTM) as edge detection method. FTM increases gradient of endoscopy images and then, it will represent better performance rather than traditional methods. The proposed FTM was applied on 21 endoscopic images consist of normal and abnormal images included Lymphangiectasia captured by Wireless Capsule Endoscopy (WCE). The results show that, this method presents a better performance rather than color Canny edge detector. The detection results were validated with ground truth image was drawn by an independent board certified gastroenterologists. The proposed method was detected 96% of borders of Lymphangiectasia and 75% of borders in normal images. In comparison, it was detected 75% and 51% of Lymphangiectasia and normal image borders before using FTM respectively.