Edge Detection of Angiogram Images using Image Enhancement Techniques and High Pass Filtering

Angiography is a medical procedure used in the observation of the blood vessels such as the arteries and veins in the human body.  The measurements of these blood vessels are important in medical research. Edge detection is a fundamental image processing technique which is used in many computer vision solutions. The main goal of edge detection algorithms is to find and detect the most relevant edges in an image which are sometimes to hard to locate by the human vision. In this paper the edges of the blood vessels seen in the angiogram images which are obtained through angiography procedures are detected using the proposed algorithm. This algorithm involves image enhancement techniques such as gray level transformations, histogram processing and frequency domain filtering. We have developed a Gaussian high pass algorithm using distance matrix that is been used along with the proposed edge detection algorithm.