A hardware Implementation of OTSU Thresholding Method for Skin Cancer Image Segmentation

Skin Cancer represents currently a grave health problem and the search for an exact clinical diagnosis has been a continuous concern for dermatologists and an important field study for many researchers, especially on the Digital Image Processing area, in which segmentation is a basic process and produces permanently an effective result for next process. Commonly Image Segmentation is following up software approach in systems, but for better processing speed, hardware implementation favors in comparison with software implementation. Based on the standard version of OTSU Thresholding that present an automatic threshold selection region-based segmentation method, we propose, in this paper, an Adaptive OTSU Thresholding hardware (AOTh) implementation. We are conducting a study on the effectiveness of the implemented approach, based on two measures of performance, the “Jaccard coefficient” and “CPU time” for a set of benchmark images.