|
|||||
|
|
Integration of color and boundary information for improved region of interest identification in electron magnetic resonance images |
|
| Authors: | D. Christopher Murali C. R. |
| Affiliation: | aDepartment of Computer Science, V.H.N.S.N. College, Virudhunagar 626001, India bRadiation Biology Branch, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA cDepartment of Physical Chemistry, Madurai Kamaraj University, Madurai 625021, India |
| Abstract: | A Windows-based, object-oriented application system for segmentation and analysis of electron magnetic resonance (EMR) images is described. The integrated system is developed for better recognition of regions of interest (ROI) in murine EMR images. The system combines the clustering method of color segmentation with boundary detection, for efficient segmentation of regions of interest in EMR images. Initially, the red/green/blue (RGB) color space is converted into spherical coordinates transform (SCT) space. Color quantization is then achieved by center split algorithm applied on the color dimensions of the SCT space. Subsequently, Laplacian boundary detection operator is used to extract the contours of the ROI from the variegated coloring information. The system is implemented in Visual C++ and tested on temporal EMR color images of mouse. The system performs well giving perceptually reasonable segmentation of tumor, kidney and bladder of the mouse image. Experimental results with extensive set of EMR color images demonstrate the efficacy of the system developed. |
| Keywords: | Electron magnetic resonance images Color image segmentation Clustering technique Border detection Feature identification |
| 本文献已被 ScienceDirect 等数据库收录！ | |