Edge Detection Based on Quantum Canny Enhancement for Medical Imaging

Abstract

Abstract The cancer or object detection on image Computed Tomography, X-Ray, and Mammography often use segmentation methods. The most common segmentation method used is based on edge detection. The edge detection method which is proposed in this study is Quantum based with Canny operator. The quality improvement of edge detection results is emphasized on the method to generate the gradient magnitude value which is done by observing the strength of neighbour pixel values. The strength of this pixel is obtained by calculating the pixel change value and the distance of neighbour pixels to the centre pixel. The results of the implementation show that the proposed method produces a better PSNR value than the original Canny, Sobel, Robert, and Prewitt Operator.