We developed a novel method named MemBrain-TMB to predict the spanning segments of transmembrane Â-barrel from amino acid sequence. MemBrain-beta is a statistical machine learningbased model, which is constructed...
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Due to the uncomfortable visual effect which was caused by traditional image enhancement algorithms, this paper proposes an effective image enhancement algorithm. Firstly, the digital image was divided into circular r...
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This paper shows the results of the automatic design of a generic heat sink, through a morphogenesis algorithm done in Matlab. This algorithm is based on two-dimensional fractal images, generated by Lindenmayer system...
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ISBN:
(纸本)9781510605039;9781510605046
This paper shows the results of the automatic design of a generic heat sink, through a morphogenesis algorithm done in Matlab. This algorithm is based on two-dimensional fractal images, generated by Lindenmayer systems, which create the heat sink shape. Those shapes iteratively evolve through a genetic algorithm in order to maximize their heat dissipation capability, estimating it through measurements of their surface and volume. Evaluation process was supported by imageprocessingalgorithms. Finally finite elements simulations are carried out in order to determine the real heat dissipation capability of each design and thus obtaining some valid heat sink shapes.
The quality of the image being captured in the current mobile devices is made acceptable using the combination of imageprocessingalgorithms. While processing these algorithms, it utilizes lots of memory space. In or...
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ISBN:
(纸本)9781479968183
The quality of the image being captured in the current mobile devices is made acceptable using the combination of imageprocessingalgorithms. While processing these algorithms, it utilizes lots of memory space. In order to reduce the memory, we are moving to software pipeline, which operates at low cost and also maximizes the flexibility than the traditional hardware pipeline. In our approach, we are using line based buffer software pipeline, which operates at low cost and enhance the quality of the image. The implemented algorithm will work individually and the results alone will feed into the next process. This reduces the processing time significantly in each step. The quality of the image is enhanced using image enhancement algorithms and noise reduction algorithm. The implemented framework reduces memory consumption and also enhances the performance.
Haze removal is useful in computational photography and computer vision applications. Although many haze removal algorithms have been proposed, their computational efficiency requires improvement. A real-time haze rem...
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Haze removal is useful in computational photography and computer vision applications. Although many haze removal algorithms have been proposed, their computational efficiency requires improvement. A real-time haze removal method is presented in this paper. The method is based on the concept of a dark channel prior. To enhance the haze removal performance, an approximate method to estimate the atmospheric light and transmission is employed. For embedded system applications, a hardware architecture to perform real-time haze removal is proposed. The hardware can achieve 116 MHz on Stratix FPGA. The simulation results indicate that the hardware is highly efficient and performs well. It obtains good image recovery results and satisfies the real-time requirement even for large images.
image quality assessment (IQA) algorithms are important for image-processingsystems. And structure information plays a significant role in the development of IQA metrics. In contrast to existing structure driven IQA ...
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In this paper, a practical medical imageprocessing subsystem is introduced. This subsystem is a part of a 3-D Radiosurgery Treatment Planning System (RTPS) for X-Knife, which was designed and developed by us. The RTP...
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ISBN:
(纸本)0780342534
In this paper, a practical medical imageprocessing subsystem is introduced. This subsystem is a part of a 3-D Radiosurgery Treatment Planning System (RTPS) for X-Knife, which was designed and developed by us. The RTPS is used for clinical radioneurosurgery. It supplies a radiosurgery treatment designing tool with a visual interactive interface for doctors. A reasonable architecture is designed by integrating different functional modules. In these functional modules, some new algorithms were developed. The new algorithms in this paper include only tracing image contour and editing image contour used for reconstruction of 3-D medical image. The other new algorithms will be published later. The feature of the system is smart, feasible and precision. Now the system has been used in clinical practices.
Many approaches in computer vision are based on point detection algorithms. In the literature, a wide variety of such algorithms are available. Therefore, it is an important task to evaluate existing and newly develop...
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ISBN:
(纸本)9781424404810
Many approaches in computer vision are based on point detection algorithms. In the literature, a wide variety of such algorithms are available. Therefore, it is an important task to evaluate existing and newly developed point detection algorithms. Up to now, this process was done by means of several methods. In this paper, we recall current point detection evaluation techniques, and motivated by their insufficiency for certain applications, we present a new application-oriented method which is based on distances between sets of points.
Automatic micropropagation is necessary to produce cost-effective high amounts of biomass. Juvenile plants are dissected in clean- room environment on particular points on the stem or the leaves. A vision-system detec...
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ISBN:
(纸本)0819415421
Automatic micropropagation is necessary to produce cost-effective high amounts of biomass. Juvenile plants are dissected in clean- room environment on particular points on the stem or the leaves. A vision-system detects possible cutting points and controls a specialized robot. This contribution is directed to the pattern- recognition algorithms to detect structural parts of the plant.
The visual analysis of peripheral blood samples is an important test in the procedures for the diagnosis of leukemia. Automated systems based on artificial vision methods can speed up this operation and increase the a...
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ISBN:
(纸本)9781457713033
The visual analysis of peripheral blood samples is an important test in the procedures for the diagnosis of leukemia. Automated systems based on artificial vision methods can speed up this operation and increase the accuracy and homogeneity of the response also in telemedicine applications. Unfortunately, there are not available public image datasets to test and compare such algorithms. In this paper, we propose a new public dataset of blood samples, specifically designed for the evaluation and the comparison of algorithms for segmentation and classification. For each image in the dataset, the classification of the cells is given, as well as a specific set of figures of merits to fairly compare the performances of different algorithms. This initiative aims to offer a new test tool to the imageprocessing and pattern matching communities, direct to stimulating new studies in this important field of research.
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