Skin color based wound region segmentation is proposed by using threshold segmentation and fuzzy-C means techniques. This letter gives wound on skin location should be precisely identified. These methods are identified the edge regions of the wound part that can help clinicians in their diagnosis. This letter describes the use of threshold values and FCM clustering algorithms for detection of wounds on the skin. In this letter This paper presents the application of fuzzy Cmeans clustering algorithm for skin color segmentation problem. This proposed method is able to take both the distributions of color space and the spatial interaction between surrounding pixels during clustering. This clustering algorithm have more advantages the result obtained from different wound images have been discussed.