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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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.
With impressive results on many object detection benchmarks, Deep Neural Networks (DNN) proved to be revolutionary technology when it comes to object detection task. One major advantage of DNN is the high capacity and...
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ISBN:
(纸本)9781728102474
With impressive results on many object detection benchmarks, Deep Neural Networks (DNN) proved to be revolutionary technology when it comes to object detection task. One major advantage of DNN is the high capacity and strong differentiation ability of the trained models, still imprecise localization is an important error source. In this paper, we present a sequential searching algorithm using Bayesian Optimization to propose better bounding boxes hence reducing localization error. We tackle the localization difficulty by transforming region proposal into an optimization problem and using Bayesian Optimization as a black-box optimizer to iteratively solve it. The proposed algorithm demonstrated the state-of-the-art performance on PASCAL VOC 2007 benchmark under the standard localization requirements.
The rapid development of Artificial Intelligence has revolutionized the area of autonomous vehicles by incorporating complex models and algorithms. Self-driving cars are always one of the biggest inventions in compute...
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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.
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.
Make a computer program that does automatically recognize a handwritten computer program, compile and execution is extremely difficult. The reasons are the various types, shapes of handwritten characters of different ...
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ISBN:
(纸本)9781538642733
Make a computer program that does automatically recognize a handwritten computer program, compile and execution is extremely difficult. The reasons are the various types, shapes of handwritten characters of different peoples. Among other issues in optical character recognition, accurate handwritten identification is the main research issue. This paper provides an accurate handwritten computer program recognition method, which blend with the imageprocessing and the language training for handwritten characters. Further, automatic error correction of handwritten program, compilation and execution of the program, will be discussed in detail throughout the paper. The final evaluation results show that the newly developed system can identify the handwritten computer program syntaxes with a higher level of accuracy.
image stitching is a technique being used to stitch multiple images together to form a stitched image with higher resolution and larger field of view. It has been adopted in many research areas such as computervision...
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As environment perception becomes increasingly necessary in human-computer interaction tasks, researchers are applying it to specific tasks, such as depth-of-field measurements by depth cameras. In order to improve th...
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Texturing 3D shapes is of great importance in computer graphics with applications ranging from game design to augmented reality. However, the processes of texture generation are usually tedious, time-consuming and lab...
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Texturing 3D shapes is of great importance in computer graphics with applications ranging from game design to augmented reality. However, the processes of texture generation are usually tedious, time-consuming and labor-intensive. In this paper, we propose an automatic texture generation algorithm for 3D shapes based on conditional Generative Adversarial Networks (cGAN). The core of our algorithm includes sampling the model outline and building a cGAN in order to generate model textures automatically. In particular, we propose a novel edge detection method using 3D model information which can accurately find the outline of the model to improve the quality of the generated texture. Due to the adaptability of the algorithm, our approach is suitable for texture generation for most 3D models. Experimental results show the efficiency of our algorithm which can easily generate high quality model textures.
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