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We have analyzed the problems associated with matching regions among the pair of images over the large set of overlapping regions. It is being studied that, matching images by using regions having unstructured association can be a serious problem. In this research we propose a linear formulation technique, which is matching simultaneously, so that the matched area can have color similarity histogram,...
Medical images are being utilized progressively inside the healthcare services for diagnosis, guiding treatment, planning treatment and checking illness progression. In fact, medical imaging chiefly processes uncertain, lost, vague, complementary, conflicting, redundant contradictory, distorted information and data has powerful structural character. As a general approach, the comprehension of any...
Biomedical image processing is an emerging and most challenging field in recent years. Large sets of similar images are produced by medical imaging applications. Manual image interpretation and analysis becomes a fastidious task due to the huge amount of data. In medical image processing, to classify an image on the basis of statistical inference, MRF classification is a well established method. In...
Nowadays information retrieval systems get more attention due to the increasing use of multimedia technologies. The information may be in the form of video, image, sound and/or text. Application of surveillance, digital libraries, web applications and various other applications that handle enormous volume of data essentially have information retrieval components. This paper demonstrates an image retrieval...
Character segmentation is the area of image segmentation, which is the classical problem. Different researchers put forward different resolution algorithms, but mainly concentrate on whether the segmentation result is good or not. As for the distinct difference between the prospect and background of image, global threshold segmentation method is simplest, but it is not suitable for the image which...
Nowadays, Content Based Image retrieval (CBIR) has been one of the most interesting research areas among researchers of technology-giants and academic institutions. Various CBIR techniques in literature show that there are three key properties in image retrieval viz. color, texture and shape. In this paper a detailed classification along with the challenges and issues of CBIR techniques evolved during...
Content Based Image Retrieval is very hottest research area in computer vision and image processing. To perceive arbitrary natural scene from complex environment is a challenging issue in visual imaging and processing research area. Neural Network is a grid of “neuron like” nodes, in this paper we follow towards Neural Network (NN), is committed to contributing a new technical concept for the scene...
World dynamic situation are full of random changes which include multiple factors like audio, video and image. So cause of concurrent incident and simultaneously device performance requirement become typical for information retrieval. That make segmentation approach a method of combining feature transformation with clustering algorithm which is proposed for adequate retrieval of image, that could...
In recent years, information retrieval has been one of the vast area of research that focuses not only on a single mode of retrieval system but on multimodal (i.e. text, image, audio and video) information retrieval systems that binds multimodalities into a single repository. Multimodal retrieval system provides the features to search/retrieve information that are available in multiple formats. Systems...
At present, the research of biometric recognition is gave more and more attention in the world. The iris recognition is a kind of the biometrics technologies based on the physiological characteristics of human body, compared with the feature recognition based on the fingerprint, palm-print, face and sound etc. the iris recognition technology has recently become popular in identity recognition. In...
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