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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...
One of the most important challenges for practical face recognition systems is to make recognition more reliable under uncontrolled lighting conditions. We tackle this by using novel illumination-insensitive preprocessing method. The proposed face recognition system consists of a preprocessing stage, a hybrid Fourier-based facial feature extraction, and Principal Component Linear Discriminant Analysis...
An elastic graph matching algorithm using biologically inspired features is proposed for the recognition of hand postures. Each node in the graph is labeled using an image feature extracted using the computational model of the ventral stream of visual cortex. The graph nodes are assigned to geometrically significant positions in the hand image, and, the model graphs are created. Bunch graph method...
Recently, image denoising using the wavelet transform has been attracting much attention. Wavelet based approach provides a particularly useful method for image denoising when the preservation of image features in the scene is of importance. In this paper, we propose a novel denoising method for removing additive noise present in the underwater images. In addition to scattering and absorption effects,...
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;...
Machine recognition of spoken numbers has attracted a lot of attention because several numerical information such as account number, credit card number, telephone number can be fed to the machine conveniently in the voice mode. A number recognition system based on Artificial Neural Network is described here. The base system employs mel frequency cepstral coefficients. In this paper a simple and effective...
Very large format video or wide-area motion imagery (WAMI) acquired by an airborne camera sensor array is characterized by persistent observation over a large field-of-view with high spatial resolution but low frame rates (i.e. one to ten frames per second). Current WAMI sensors have sufficient coverage and resolution to track vehicles for many hours using just a single airborne platform. We have...
Signature can be seen as an individual characteristic of a person which if modeled with precision can be used for his/her validation. Automatic signature verification is a technique that saves time and money. The paper is focused on skilled forgery detection. In addition, it also lays emphasis on the extraction of the critical regions which are more prone to mistakes. It follows a graph matching approach,...
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...
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