Edge Detection of Angiogram Images Using the Classical Image Processing Techniques
Image edge detection is an important technique in the area of image processing with wide applications in Medicine, Remote sensing, military to mention a few. There are conventional as well as improvised edge detection algorithms depending on the application. The choice of the technique in most cases depends on the application and image in question rather than a generalized method. We used sobel based for edge detection. The conventional histogram method is modified to adopt for automatically determining the threshold for different regions in the image. The objective of this paper is to realize the edge detection algorithm on a FPGA (Field Programmable Gate Array). The segmentation processor also has the capabilities to perform other tasks so that it could mimic an image processor. FPGA implementation renders it more useful for real time applications.