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Volume : I, Issue : IV, May - 2011 ABNORMALITY DETECTION IN ENDOSCOPIC IMAGES OF THROAT CANCER BY MORPHOLOGICAL OPERATIONS Deepti Shikha and B.V. Dhandra DOI : 10.9780/22307850, Published By : Laxmi Book Publication Abstract : Mathematical morphology provides a number of important images processing
operations and become the foundation of biomedical computing. The data extracted
from images continues to be a fundamental technique for achieving scientific
progress in experimental, clinical, biomedical, and behavioural research. Image
segmentation is an important component of image analysis, which partitions the
whole image under study into various disjoint regions based on potential features
such as gray value, color, texture, etc. An algorithm was developed to perform the
segmentation, classification and analysis of medical images, especially the
endoscopic images for the identification of commonly occurring throat cancer
abnormalities. It was observed that the proposed segmentation generates larger
number of regions in the abnormal images as compared to normal. Further, it was
seen that a large number of segmented regions generated in normal images due to the
presence of noise such as lumen regions, bright spots generated by the reflection of
light sources, etc. Keywords : Article : Cite This Article : Deepti Shikha and B.V. Dhandra, (2011). ABNORMALITY DETECTION IN ENDOSCOPIC IMAGES OF THROAT CANCER BY MORPHOLOGICAL OPERATIONS. Indian Streams Research Journal, Vol. I, Issue. IV, DOI : 10.9780/22307850, http://oldisrj.lbp.world/UploadedData/143.pdf References : - Ella, H. A. and T. A. E. Hadi, Digital mammography image analysis system based the on mathematical morphology, IEEE computer society, 7th International Conference on Intelligent Engineering Systems INES 2003, March 4-6 Assiut-Luxor, Egypt, pp 141-147, 2003.
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