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Lung cancer is a conceivably deadly disease brought on predominantly by ecological factors that transform genes that encodes basic cell regularities proteins. This paper investigates the early detection of lung cancer using computer aided diagnosis system which helps to improve the life term of the patient. The Existing multimodal sparse representation based classification of lung cancer related abnormalities...
Schistosomiasis is an disease which is caused by parasitic worms. Parasites are hosted during agricultural, domestic, occupational and recreational activities when the people are exposed to infested water. Certain play habits of children including swimming, fishing in infested water are major cause of parasitic infection. Schistosomiasis control measure is required for the treatment with the praziquantel...
Recent advances in scene understanding and related tasks have highlighted the importance of using regions to reason about high-level scene structure. Typically, the regions are selected beforehand and then an energy function is defined over them. This two step process suffers from the following deficiencies: (i) the regions may not match the boundaries of the scene entities, thereby introducing errors;...
Organ delineation from volumetric images is an integral part of radiation oncology planning. Model based segmentation techniques have been successfully applied for automatic segmentation of region of interest (ROI) in volumetric medical images. The ROI is modelled as a 3D triangular surface mesh which automatically adapts itself to fit to the correct boundary of the ROI in a given image. Automatic...
We address the problem of Kannada character recognition, and propose a recognition mechanism based on k-means clustering. The large dataset of Kannada characters and their similarity makes the problem one order of magnitude more difficult than for a standard language like English. We propose a segmentation technique to decompose each character into components from 3 base classes, thus reducing the...
Organ delineation from volumetric dataset is often encountered problem in medical imaging. Numerous 3D polygonal surface mesh model based segmentation algorithms have been reported in this area. These algorithms aim for a fully automated solution for segmenting anatomical structures in volumetric image datasets. But attraction to false boundaries results in inaccurate segmentation, which can happen...
We propose two new schemes for segmentation of images with uneven lighting conditions. These are based on adaptive window selection. The first one is a window merging method based on Lorentz information measure (LIM) but the second one is a window growing method using the notion of entropy. We propose two new window merging criterion where the window merging is carried out based on linear combination...
Preprocessing is an important step for automatic check processing in Indian scenario where there is huge variation in writing style, especially the way in which Courtesy Amount is terminated and the fractional (Paisa) amount is written. Courtesy Amount Recognition (CAR) and Legal Amount Recognition (LAR) form the core of automated check processing system. For CAR identification, a number of approaches...
A novel segmentation algorithm is proposed in this paper for the segmentation of digital images with either bright or dark or both type of features corrupted at very high impulse noise ratios. The specialized pre-processing set-up completely restores the impulse corrupted image and generates all the information required for perfect segmentation. The algorithm works on the marker extractions of the...
For applications such as behavior recognition it is important to maintain the identity of multiple targets, while tracking them in the presence of splits and merges, or occlusion of the targets by background obstacles. Here we propose an algorithm to handle multiple splits and merges of objects based on dynamic programming and a new geometric shape matching measure. We then cooperatively combine Kalman...
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