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Support Vector Machine (SVM) is a useful technique for data classification with successful applications in different fields of bioinformatics, image segmentation, data mining, etc. A key problem of these methods is how to choose an optimal kernel and how to optimize its parameters in the learning process of SVM. The objective of this study is to propose a Genetic Algorithm approach for parameter optimization...
In order to extract valid information from video, process video data efficiently, and reduce the transfer stress of network, more and more attention is being paid to the video processing technology. The amount of data in video processing is significantly reduced by using video segmentation and key-frame extraction. So, these two technologies have gradually become the focus of research. With the features...
This paper presents an analysis of the parameters used to construct 2D log-Gabor filters to encode iris patterns. This filter is a band-pass complex filter composed by four parameters that are used to extract information direct in the 2D domain. An iris recognition system, composed by segmentation, normalization, encoding and matching is also described. The segmentation module combines the Pulling...
The following topics are dealt with: data hiding techniques; wavelet transform; management information system; image sequence compressing algorithm; trusted software; case-based reasoning system; education information platform; UML; multiobjective optimization; information retrieval; web mining; CUDA architecture; fuzzy association rules; BP neural network; network security detection method; adaptive...
The vision information of Web page is applied for information extraction, which avoids using the sophisticate natural language processing technology. This paper combines the natural language processing technology with vision character of HTML page in the application of information extraction for Web page, we carried out relevant research. We propose a Web Page Information extraction algorithm based...
In this paper we introduce a new algorithm for multi-focus image fusion based on edge information of the source images and K-mean segmentation. The basic idea is to extract the edge information of the source images, divide the images into blocks and then select the blocks with higher edge information to construct the resultant fused image. The pixels in the unallocated blocks of the fused image are...
Indirect immunofluorescence (IIF) with HEp-2 cells has been used to detect antinuclear auto-antibodies (ANA) for diagnosing systemic autoimmune diseases. The aim of this study is to develop an automatic scheme to identify the fluorescence pattern of HEp-2 cell in the IIF images. By using the previously proposed two-staged segmentation method, the similarity-based watershed algorithm with marker techniques...
Image segmentation is an important technique in the area of image processing with wide applications in medicine, remote sensing to mention a few. A lot of research work is in progress in various areas resulting in many computationally efficient algorithms. There are conventional as well as improvised segmentation algorithms depending on the application. The choice of the technique in most cases depends...
Binary images can be represented by their morphological skeleton transform also called as medial axis transform (MAT). Shock graphs are derived from the skeleton and have emerged as powerful 2-D shape representation method. A skeleton has number of branches. A branch is a connected set of points between an end point and a joint or another end point. Every point also called as shock point on a skeleton...
This paper is concerned with the use of the level set methods in image segmentation. It is known that the reinitialisation is sometimes needed for the correct function of these methods. This step, however, is problematic both from the theoretical and from the practical point of view. In this paper, we present a modification of the well known Chan and Vese method that does not require the reinitialisation...
The land use or land cover map depicts the physical coverage of the Earth's terrestrial surface according to its use (viz. vegetation, habitation, water body, bare soil, artificial structures etc.). Land use map generation from remotely sensed images is one of the challenging task of remote sensing technology. In this article, motivated from group forming behaviour of real ants, we have proposed two...
This paper proposes an approach for 2D-to-3D conversion for multiview displays. It employs an object-based approach where objects at large depth differences are first segmented by semi-automatic tools. Appropriate depth values are assigned to these objects and the missing image pixels at the background are filled in by inpainting techniques so that different views of the image can be synthesized....
A photomosaic is an image assembled from smaller images called tiles. When a photomosaic is viewed from a distance, it resembles a desired target image. The process of photomosaic generation can be viewed as an optimization problem, where a set of tiles needs to be arranged to resemble a target image. We impose a constraint on the number of times a tile image can be repeated in a photomosaic. A randomized...
In today's world, increasing life expectation have made the heart failures of important concern. For clinical diagnosis, parameters for the condition of heart are needed. Accurate and fast image segmentation algorithms are of paramount importance prior to the calculation of these parameters. An automatic method for segmenting the cardiac magnetic resonance (CMR) images is always desired to increase...
In this work, a hybrid approach to analyse optic disc and macula to characterise the normal and abnormal status of the retina are proposed. The retinas with normal and diabetic retinopathy (DR) images were used for this study. The fundus retinal images are subjected to ant colony optimization (ACO) based method to identify optic disc (OD) and Otsu method to further analyse the macula. Parameters such...
In this paper, we present a novel framework to segment and quantify stenosed coronary arteries in 3D contrast enhanced computed tomography angiography (CTA). According to our knowledge, no commercially available software package permits fully automated detection and assessment of atherosclerotic stenosis. Therefore, in clinical practice, the radiologist has to make a detailed evaluation, segment by...
Due to the advent of computer technology image-processing techniques have become increasingly important in a wide variety of applications. This is particularly true for medical imaging such as Computer Tomography (CT), magnetic resonance image (MRI), and nuclear medicine, which can be used to assist doctors in diagnosis, treatment, and research This paper presents a novel method to extract salient...
Image segmentation is a primary step in many computer vision tasks. In this paper the method uses watershed algorithm based on gradient magnitude, In which the input RGB color image is transformed into HSI color space and above stated algorithm is applied on the image. Since output of watershed is oversegmented, the results based on actual implementation of adaptive color image segmentation (ACIS)...
In today's world, increasing life expectation have made the heart failures of important concern. For clinical diagnosis, parameters for the condition of heart are needed. Accurate and fast image segmentation algorithms are of paramount importance prior to the calculation of these parameters. An automatic method for segmenting the cardiac magnetic resonance (CMR) images is always desired to increase...
Microarray technology has emerged as one of the robust methodology for quantitatively analyzing gene expressions of thousands of genes simultaneously. The experimental design, image processing and data analysis are the three major stages of microarray based analysis. The main goal of array image processing is, to measure the intensity of the spots and quantify the gene expression values based on these...
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