There is an ever-growing body of facial tracking assessment applications available within the health and wellness sector. One of the most prominent areas is the use of 3D cameras and processing technologies in the dev...
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Single-photon camera is a novel camera type that utilizes image sensor with photon-counting capability. Recently, the potential of such sensors to achieve high spatial resolutions (e.g., 10/chip) and frame rates (e.g....
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Melanoma is the most dangerous skin cancer which causes many deaths annually. However, early detection can help treat it. For accurate detection of melanoma, dermatologists use biopsy which is usually associated with ...
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ISBN:
(纸本)9781538679524
Melanoma is the most dangerous skin cancer which causes many deaths annually. However, early detection can help treat it. For accurate detection of melanoma, dermatologists use biopsy which is usually associated with pain, time and cost. With the advancement of technology and the development of smartphones, many mobile applications have been designed for early detection of melanoma. Although they are fast in the detection of melanoma and save time and money, they are not as accurate as the biopsy. In this paper, the authors proposed an application for early detection of melanoma using imageprocessing methods and pattern recognition algorithms by Android Studio software, Java programming language, and the OpenCV library. All detection steps were carried out using the Android smartphone. For better performance in the classification step, in addition to the smartphone, a computer was also used. This application is user-friendly and the calculated Accuracy, Sensitivity, and Specificity are 95%, 98%, and 92.19% on average, respectively. It should be noted that these results are more reliable when the lesions are geometrically distinct.
The working on image to perform different operation is known as imageprocessing. Digital image is a collection of a defined number of pixels. Each feature has a particular pixel value at a specific position. image re...
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Fires are one of the main causes of death amongst the world. Although there are various fire detection systems most of them did not proof its effectiveness in detecting fires due to inefficiency or restrictions. For e...
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ISBN:
(纸本)9781479928453
Fires are one of the main causes of death amongst the world. Although there are various fire detection systems most of them did not proof its effectiveness in detecting fires due to inefficiency or restrictions. For example, systems based on smoke sensors in detecting fires cannot be used in open areas because they are restricted to the existence of a ceiling or a wall. Besides that, having many flammable objects in open large areas, such as trees and fuel of car may interact with oxygen in the air which make fire growth and expansion very fast. According to the prior stated facts in this paper we present the project we worked on with the aim of implementing a more efficient and trustworthy fire detecting system. The project was done by using computervision and imageprocessing techniques to detect fire flames based on studying the fire properties besides an alarm notification system.
In order to improve the effectiveness of basketball continuous pitching motion guidance, the image characteristics of basketball continuous pitching motion are analyzed with imageprocessing method, and an automatic g...
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The mechanics of occlusion of one surface by another are described by a set of integer linear constraints. These constraints insure that the output of a contour grouping process is physically valid and consistent with...
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ISBN:
(纸本)0818620579
The mechanics of occlusion of one surface by another are described by a set of integer linear constraints. These constraints insure that the output of a contour grouping process is physically valid and consistent with the image evidence. Among the many feasible solutions, the most compelling is the solution which best explains the presence and form of image structure. The problem of computing a complete and consistent surface boundary representation is reduced to solving an integer linear program.
Machining performance monitoring is the utilization of different sensors to determine the condition of processes. Machine vision system has been used to monitor the state of both cutting tool and workpiece during turn...
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ISBN:
(纸本)9789811358029;9789811358012
Machining performance monitoring is the utilization of different sensors to determine the condition of processes. Machine vision system has been used to monitor the state of both cutting tool and workpiece during turning process. The turning experiments on Inconel 718 material have been performed in a precision lathe using coated carbide cutting tool in dry conditions. Cutting tool and machined surface images were acquired using machine vision. image features of machined surface and cutting tool were extracted by processing the images. image features such as wear area and perimeter have been considered to characterize tool wear state;consequently, machined surface state was characterized by means of image histogram frequency. Further, trends have been plotted with image features extracted from both tool and machined surfaces. Results indicate that monitoring of turning performance could be effectively accomplished by plotted trends.
Pose estimations have increased dramatically in the realm of computervision since the introduction of sensor camera technology and the development of deep networks. Since predicting animal poses is a critical first s...
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The traditional Laplacian pyramid fusion method cannot effectively reflect the edge information of the fused image and the poor contrast. A Laplacian pyramid algorithm with multi-directional joint averaging is propose...
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ISBN:
(纸本)9781538684818
The traditional Laplacian pyramid fusion method cannot effectively reflect the edge information of the fused image and the poor contrast. A Laplacian pyramid algorithm with multi-directional joint averaging is proposed. First, the input image is decomposed using the Laplacian pyramid. Secondly, for the high frequency coefficient, the rule of extracting the multidirectional feature map of the joint average fusion is adopted;the low frequency coefficient adopts the regional average gradient adaptive weighted fusion rule. Finally, the fused image is obtained by the reconstruction process of the inverse Laplacian pyramid transform. Experimental results show that the algorithm can effectively reflect the edge information of the fused image and rich background details.
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