A novel model of feature extraction for lung cysts detection in CT image using Minutiae based Mumford and Shah functional model

ABSTRACT

Lung cancer is one of the commonly occurring and most hazardous diseases to cure which increases the death rate day by day. In order to reduce the death rate, it is necessary to detect the lung cancer in its initial stages and thereby to assist the surgeons to clear away the portion of lung for the treatment of lung cancer, and tumours. This paper concentrates at developing a Computer-Aided Diagnosis (CAD) system for detecting lung cancer by analysing the Computed Tomography (CT) images of lungs. And it is carried out with filtering, binarization, image segmentation based on the Mumford and Shah model, Image enhancement including binarization and thinning, Minutiae Extraction using Termination and Bifurcation, Removal of False Minutiae Points and finally feature Extraction using grey level co-occurrence matrix (GLCM). Also, the system removes 98% of false minutiae and thus, is more efficient than other algorithms which achieve 80% to 90%. In addition, the image quality is analysed using various assessment Metrics. Finally, a comparative and robustness analyses are carried out with the existing self-learning approach in terms extracted values. The results of the proposed system show that there is significant improvement in PSNR value compared to the existing method.

KEYWORDS:

• Mumford and Shah model
• adaptive histogram equalisation technique
• grey level co-occurrence matrix (GLCM)
• minutiae extraction
• Ostu threshold algorithm

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was supported by nobody.

Notes on contributors

Kishore Sebastian

Prof. Kishore Sebastian has completed B.E. degree in 2005 and M.E degree in 2007. His area of interest is Image Processing. He has published 6 national and international journals. He has attended 8 national and international conferences. Currently he is working in St.Joseph’s College of Engineering and Technology,Pala, Kerala.

S. Devi

Dr. S. Devi, B.E., M.Tech., Ph.D., has completed B.E. degree in Electronics and Communication Engineering in Bharathidasan University, Trichy. She obtained her M.Tech in Communication Systems from Dr. M.G.R University, Chennai and pursued her Ph.D in Wireless Communication Systems from Anna University, Chennai. She is having more than eighteen years of service in teaching as Lecturer, Assistant Professor, Professor and Head of the department. Her area of interest includes wireless sensor Networks, image processing, VLSI Design, and soft computing. She has published more thantwenty papers in reputed peer reviewed International Journals, International Conferences, National Journal, National Conferences, Book and book chapters. She is life member of Universal Association of Computer & Electronics Engineering (UACEE) and she is having two patents for her credit.