DocumentCode :
3220589
Title :
A novel approach for retrieval of medical images in bit plane domain
Author :
Sudhakar, M.S. ; Bagan, K. Bhoopathy
Author_Institution :
Dept. of Electron. Eng., Anna Univ., Chennai, India
fYear :
2011
fDate :
16-18 Nov. 2011
Firstpage :
478
Lastpage :
483
Abstract :
Medical applications rely upon suitable interpretation of medical images and benefit from gaining access to visually similar images. In this paper we present a novel and computationally simple approach for retrieval of images from medical image database. The proposed approach consists of extracting feature vectors from medical images of different categories & modalities by exploiting the higher degree of correlation that exists amongst the pixel values of a medical image. Retrieval of images in this approach is based upon correlation which is classified into two types: Intra Pixel Correlation - Correlation that exists among pixels in an image and statistical correlation, also termed as Inter Pixel Correlation that exists among extracted feature vectors of query and Target (database) Images. A transformation of the image pixels to a bit map is done based on Intra Pixel Correlation. Medical images ranging across various categories utilize shape as the fundamental distinguishing criterion for identifying the specific category, which is ensured in this approach by the incorporation of edge detector (Canny) after mapping into bit-plane domain. Inter-pixel correlation accounts for quantifying the similarity between image matrices of query and target (database) images. This provides better refinement and henceforth retrieves images with higher degree of recall and precision rate. Experimental results illustrate that the proposed approach is distinct and efficient compared to the existing techniques.
Keywords :
correlation methods; edge detection; feature extraction; image resolution; image retrieval; matrix algebra; medical image processing; statistical analysis; vectors; visual databases; Canny edge detector; bit plane domain; feature vector extraction; image correlation; image matrices; inter pixel correlation; intra pixel correlation; medical image database; medical image retrieval; statistical correlation; Biomedical imaging; Correlation; Feature extraction; Image edge detection; Image retrieval; Vectors; Canny Edge detector; Feature Vector; Inter Pixel Correlation; Intra Pixel Correlation; Length Encoding; Run;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal and Image Processing Applications (ICSIPA), 2011 IEEE International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4577-0243-3
Type :
conf
DOI :
10.1109/ICSIPA.2011.6144075
Filename :
6144075
Link To Document :
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