The statistical data of aortic valve is very important input information for medical diagnostics and anatomical pathology research. The approach for this data extraction is photo survey of aortic valve and next image ...
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ISBN:
(纸本)9789898533524
The statistical data of aortic valve is very important input information for medical diagnostics and anatomical pathology research. The approach for this data extraction is photo survey of aortic valve and next imageprocessing. In this paper the authors have implemented different methods of pattern recognition for extracting the statistical data from photographic images. The modification of "k-Nearest Neighbors" method was proposed. The experimental results show the efficiency of the selected methods and proposed modification.
Nailfold capillaroscopy (NC) is a non-invasive imaging technique employed to assess the condition of blood capillaries in the nailfold and is particularly useful for diagnosis of scleroderma spectrum disorders and Ray...
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In video surveillance, person re-identification (re-id) is a popular technique to automatically finding whether a person has been already seen in a group of cameras. In the recent years, availability of large-scale da...
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Increase in the use of mobile phones for scene capturing turns into the exponential increase in the size of digital libraries. Content-Based image Retrieval (CBIR) is an effective solution to handle this enormous data...
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The development of image sharpening algorithms is a challenging problem. The paper presents a parallel implementation of grid warping algorithm for the problem of image sharpening. The algorithm shifts pixels toward e...
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Edge detection is a preliminary process in many imageprocessing and computervision applications. It detects important events in the image where sharp discontinuity in pixels' intensity is found. Several edge det...
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Deep learning has shown remarkable performances in image classification, including those of plants and leaves. However, high-performing networks in terms of accuracy may not be using the salient regions for making the...
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The computervision is a broader and hottest area of Digital imageprocessing with lot of past, ongoing and future research to accomplish the mission of providing visual sense to computers as like human visual system ...
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Reproducibility of research is an area of growing concern in computervision. Scientific workflows provide a structured methodology for standardized replication and testing of state-of-the-art models, open publication...
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ISBN:
(纸本)9781509042739
Reproducibility of research is an area of growing concern in computervision. Scientific workflows provide a structured methodology for standardized replication and testing of state-of-the-art models, open publication of datasets and software together, and ease of analysis by re-using pre-existing components. In this paper, we present initial work in developing a framework that will allow reuse and extension of many computervision methods, as well as allowing easy reproducibility of analytical results, by publishing datasets and workflows packaged together as linked data. Our approach uses the WINGS semantic workflow system which validates semantic constraints of the computervision algorithms, making it easy for non-experts to correctly apply state-of-the-art imageprocessing methods to their data. We show the ease of use of semantic workflows for reproducibility in computervision by both utilizing pre-developed workflow fragments and developing novel computervision workflow fragments for a video activity recognition task, analysis of multimedia web content, and the analysis of artistic style in paintings using convolutional neural networks.
For image fusion of geometrically distorted images, registration is the prerequisite step. Intensity-based image registration methods are preferred due to higher accuracy than that of feature-based methods. But, perfe...
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