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Conventional vessel enhancement approaches used in literature are Hessian-based filters, which are sensitive to noise and sometimes give discontinued vessels due to junction suppression. In this paper, we propose a new approach incorporating the use of linear directional features of vessels to get more precise estimates of the Hessian eigenvalues in noisy environment. The directional features are...
Chest radiographs play an important role in the diagnosis of lung cancer. Detection of pulmonary nodules in chest radiographs forms the basis of early detection. Due to its sparse bone structure and overlapping of the nodule with ribs and clavicles the nodule is difficult to detect in conventional chest radiographs. We present a technique based on independent component analysis (ICA) for the suppression...
The enhancement and binarisation of boundary structure in an endothelial cells image is a vital task for measuring the cell density and degree of hexagonality. Endothelial cells images acquired by a non-contact specular microscope usually suffer from spatially varying brightness, and noisy background. Since the cell image contains boundaries which are predominately linear with various directions....
An on-line signature can be characterized with the help of its shape profile and dynamic characteristics. Shape and dynamics are both complementary aspects of a genuine signature. Their relationship should be exploited to develop a highly discriminative feature set for classification purpose. Conventionally these two characteristics are merely concatenated to form feature vector. However, a composite...
In this paper, we present an image contrast enhancement method based on block-wise intensity pair distribution. Instead of using the intensity-pair distribution of the whole image, this proposed algorithm takes the intensity-pair distribution block-wise and maps the intensity of the center pixel according to an expansion function. To control the contrast stretch and over-enhancement, a linear magnitude...
Wireless sensor networks (WSNs) are used for various applications, such as habitat monitoring, automation, agriculture, and security. In order to send information from very high number of sensor nodes to the base station, it is necessary and economical to group sensors into clusters to prolong network lifetime. Due to the resource limitation of sensor nodes, the collected information from sensor nodes...
The traditional on-line signature verification process involves use of various dynamic features such as velocity, pressure, acceleration, angles, etc. The idea is to device a composite vector structure combining more than one feature where each feature is treated independently. Our proposed research work is an attempt to exploit the inter-feature dependencies by employing a higher dimensional vector...
This paper presents a new directional analysis tool namely decimation-free directional filter bank, and its comparison with directional filter bank. Outputs of directional filter bank are maximally decimated (smaller in size) due to the presence of decimators. Multi-rate identities are used to push all these decimators to the right of filters. By doing so, frequency scrambling produced in directional...
We have developed a classifier decision fusion measure which is used as framework for combining multiple classifier decisions. The combination of different sources of information about a face, in the form of different feature sets and classification methods, provides an opportunity to develop an improved level of verification compared to the use of a single set of classifiers. Recently, the face recognition...
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