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

ABSTRACT

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.

KEYWORDS:

• Digital radiography images
• Edge detection
• Local binary pattern
• noise
• Ultrasound images

Additional information

Notes on contributors

Navdeep Yadav

Navdeep Yadav received his BTech degree in biomedical engineering from C R State College of Engineering, Murthal, Haryana in 2008 and MTech degree in process control from Netaji Subhas Institute of Technology, University of Delhi in 2010. He is pursuing his PhD degree from Netaji Subhas Institute of Technology, New Delhi, University of Delhi, Delhi. His research interests include image processing and biomedical imaging.

Vijander Singh

Vijander Singh received his BTech in electrical engineering from G B Pant University of Agriculture and Technology, Pantnagar in 1995. He received his MTech and PhD from Indian Institute of Technology, Roorkee, in 2000 and 2007, respectively. He is working as a professor in the Division of Instrumentation and Control Engineering, Netaji Subhas Institute of Technology, New Delhi. His research interests include biomedical signal processing, image processing, process control and artificial intelligent control. Email: [email protected]

Asha Rani

Asha Rani received her BTech in Electrical Engineering from National Institute of Technology Hamirpur, HP in 1998 and MTech in Electrical Engineering from Indian Institute of Technology, Roorkee, UP in 2000. She obtained her PhD from Netaji Subhas Institute of Technology, University of Delhi in 2013. Currently, she is working as a professor in the Division of Instrumentation and Control Engineering at Netaji Subhas Institute of Technology, New Delhi. Her interests include process control using intelligent control techniques and biomedical Instrumentation. Email: [email protected]

Sonal Goyal

Sonal Goyal received her BTech degree in instrumentation and control engineering from Engineering College, Ajmer, Rajasthan in 2009 and MTech degree in process control from Netaji Subhas Institute of Technology, University of Delhi in 2012. She is pursuing her PhD degree from Netaji Subhas Institute of Technology, University of Delhi. Her research interests include biomedical image processing and artificial intelligent control. Email: [email protected]