Local Diagonal Maxima-Minima Pattern-based Edge Detection Technique for Ultrasound and Digital Radiography Images

This paper presents a low dimensional edge descriptor, based on local diagonal and non-diagonal maxima-minima pattern for medical images. The methods utilize local relationship of a middle pixel to its diagonal/non-diagonal maxima-minima. The scheme reduces the length of feature vector to a great extent without compromising the quality of edge map. The designed methods are validated on digital X-ray for bone fracture detection, dental images and ultrasound images. Improved depth local binary pattern, anisotropic diffusion & Canny edge detection, Canny and Sobel methods are also used for a comparative analysis. The local diagonal maxima-minima pattern and local non-diagonal maxima-minima pattern methods are robust to noise, while preserving the useful edge information. The experimental results reveal the superiority of proposed methods as compared to the state-of-the-art methods in terms of accuracy, Jaccard similarity index, specificity, sensitivity and dice similarity coefficient.