image encryption is different from that of traditional texts or binary data because of some inherent properties of images such as large data capacity, i.e., enormous size and high redundancy (statistical and psycho-vi...
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Electron patient records clinical database allows creating integrative presentation links different types of medical information for individual patient on real-time scale. Resulting image, can be confront with "d...
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Electron patient records clinical database allows creating integrative presentation links different types of medical information for individual patient on real-time scale. Resulting image, can be confront with "disease image" - non-formalised physician's perceptions of nosology expression in individual patient's disease. Normalization of parameters permits data processing based on case-to-case and case-to-cluster comparative and multivariate statistical analysis of the patient's data.
Edge detection is a fundamental problem in computervision and has been explored for many decades. Due to the rapid development of machine learning techniques and their applications to imageprocessing, there is a pro...
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The segmentation aims the partitioning of a digital image into segments/objects in order to simplify its analyze. Its comprehensive application makes it an important section of computervision studies where thresholdi...
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ISBN:
(纸本)9781538684313
The segmentation aims the partitioning of a digital image into segments/objects in order to simplify its analyze. Its comprehensive application makes it an important section of computervision studies where thresholding is one of the most important techniques. This paper proposes the application of a genetic algorithm associated with a thresholding method in a way that it makes more practical the location of optimal thresholds in view of the fact that the expansion in multiple thresholds of already consecrated methods to perform this processing might be too memory consuming and time exhaustive to the system. A comparison between values reached by the proposed method and Otsu's method are presented for one and two levels showing good results, in addition to the application and results in higher levels of the proposed algorithm which are visual satisfactory to distinguish the original objects by human vision with low range variations of the value.
computervision (CV) represents a technology using which information contained in a visual scenery is obtained by capturing and digital processing of the images. computervision is becoming more popular and widely use...
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Facial expression recognition is a hot research direction in the field of pattern recognition andcomputervision. In this paper, the images of customer's face are used to detect the facial expression in them to e...
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ISBN:
(纸本)9781538611418
Facial expression recognition is a hot research direction in the field of pattern recognition andcomputervision. In this paper, the images of customer's face are used to detect the facial expression in them to enhance the customer based services. The convolution neural network using the VGG-16 architecture is used as the deep learning model which extracts essential features in an image and enables us to recognize the expression of the customer. A customer service system architecture is designed using two neural networks, a convolution neural networks using the VGG-16 architecture our baseline and the Google cloud platform vision application program interface to explore the needs of different models based on the client usage.
Visual communication design in tourism products based on computervision and complex feature mining algorithm is studied in this paper. In essential aspect, the visual communication should be considered. A core typica...
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This paper presents a system to monitor the wear process in machines using computervision andimageprocessing techniques applied to wear particle analysis. Particles are classified using their visual attributes to p...
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ISBN:
(纸本)9780769539256
This paper presents a system to monitor the wear process in machines using computervision andimageprocessing techniques applied to wear particle analysis. Particles are classified using their visual attributes to predict wear failure modes in engines and other machinery. The aim of the current work is to develop an automated system to classify wear particles and thereby predict wear failure modes in engines and other machinery, such that it obviates the need for specialists and reliance on human visual inspection techniques. The paper describes an interactive control system CAVE (computer Aided vision Engineering) in terms of the stages involved in processing data to acquire morphological features of wear particles from microscopic images and their automatic classification.
The process of maintenance and optimization of mobile network, the error is relatively large when measuring the distance from the user to the base station. This paper introduces a method and the combination of the thr...
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image stitching is an imageprocessing method, where multiple photographs covering different parts of the same scene, are combined to form a single wide-angle image. Stitching is a very challenging task, and during th...
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ISBN:
(纸本)9783540896814
image stitching is an imageprocessing method, where multiple photographs covering different parts of the same scene, are combined to form a single wide-angle image. Stitching is a very challenging task, and during the past decades many algorithms have been developed for it. Unfortunately, there has been no objective way to measure the quality of stitching results. To mend this shortcoming, we propose a novel method for testing stitching algorithms. The testing process starts from an arbitrary reference image that is used to create synthetic input data for the stitching algorithm that is to be tested. To make the testing realistic, various camera-related distortions along with perspective warps are applied to the input images. From this input data, the stitching algorithm creates a wide-angle image that is then compared to the reference image, from which the process started.
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