A Novel Localized Entropy-based Medical Image Retrieval

ABSTRACT

Utilization of online medical images was limited due to the lack of effective search methods, and text-based searches have been a dominating approach for the medical database management. Medical images of various modalities cannot be effectively indexed or organized with traditional text-based retrieval techniques. This has led to the use of image content for the processing and organizing the database, constituting the so-called content-based image retrieval systems. This paper presents two proposed methods, namely fuzzy connectedness image segmentation with geometric moments (FCISGMs), and localized entropy-based medical image retrieval (LEBIR) for retrieval of Digital Imaging and Communications in Medicine images. FCISGM exploits shape features for precise image retrieval by using fuzzy connectedness image segmentation. LEBIR uses localized entropy for minimizing number of computation which results in efficient image retrieval. Experimental evaluation reveals that the proposed methods outperform the existing methods in terms of precision and recall.

KEYWORDS:

• DICOM
• Feature extraction
• Fuzzy logic, Image color
• Image database
• Image enhancement
• Image retrieval
• Image segmentation
• Image texture
• X-ray

DISCLOSURE STATEMENT

No potential conflict of interest was reported by the authors.

Additional information

Notes on contributors

Mohammad Atique

Mohammad Atique, was born in Akola India, in 1969. He received BE, in 1990, ME, in 1997, and PhD, in 2009, degrees, respectively, in computer science and engineering from Sant Gadge Baba Amravati University, Amravati. He is fellow of IETE, New Delhi, IE, Kolkata and senior life member of CSI, Bombay. He has worked as associate professor in computer science & engineering at Government College of Engineering, Amravati, from September 1990 to November 2007. He is presently working as professor in PG Department of Computer Science and Engineering in Sant Gadge Baba Amravati University, Amravati, since October 2011. His area of interest includes image retrieval, image processing, neural networks and soft computing. He is the author of more than 70 research articles and published two patents.

E-mail: [email protected]

Amol P. Bhagat

Amol P. Bhagat was born in Amravati India, in 1984. He received BE degree in information technology from Government College of Engineering Amravati, in 2005, and M.Tech. degree in computer science and engineering from Walchand College of Engineering, Sangli, in 2009. He is member of IETE, New Delhi. He is presently pursuing PhD in information technology at PG Department of Computer Science, Sant Gadge Baba Amravati University, Amravati. He is presently working as an Assistant professor in the Department of Computer Science and Engineering, Prof Ram Meghe College of Engineering & Management, Badnera, since December 2010. His research interests include image retrieval, image processing and enhancement, soft computing, network security and distributed computing. He is the author of more than 30 research articles and published one patent.

E-mail: [email protected]