The characteristics of modern graphics processing unit (GPU) is programmable, high price / performance ratio and high speed. It has a strong ability to adapt the parallel calculation, Based on this, the article study ...
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ISBN:
(纸本)9780769539010
The characteristics of modern graphics processing unit (GPU) is programmable, high price / performance ratio and high speed. It has a strong ability to adapt the parallel calculation, Based on this, the article study the general method of GPU calculating and use compute unified device architecture (CUDA) to design new parallel algorithm to accelerate the matrix inversion and binarization algorithm. The results show that with the increase of matrix dimension, CPU performs much better than CPU in increase multiple.
Wood cell images are observed by the In-Situ SEM plays a very important role in wood structure. Because of the nature of cell image, automatic segmentation for wood cell image becomes one difficult question. According...
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ISBN:
(纸本)9780878492268
Wood cell images are observed by the In-Situ SEM plays a very important role in wood structure. Because of the nature of cell image, automatic segmentation for wood cell image becomes one difficult question. According to the characteristics of image of anatomical structure of wood based on image processing theory, the theory and method of binarization algorithm for image of anatomical structure of wood is presented. The machine vision detecting of edge tracing of wood cell is processed to the binarized wood image. Use this method to dissected Yunnan ormosia and Manchurian ash image of anatomical structure of wood cell, this study provides the theory base for feature abstraction and pattern recognization for the further study on image of anatomical structure of wood
We propose a fully automatic method for summarizing and indexing unstructured presentation videos based on text extracted from the projected slides. We use changes of text in the slides as a means to segment the video...
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ISBN:
(纸本)9781424456536;9781424456543
We propose a fully automatic method for summarizing and indexing unstructured presentation videos based on text extracted from the projected slides. We use changes of text in the slides as a means to segment the video into semantic shots. Unlike precedent approaches, our method does not depend on availability of the electronic source of the slides, but rather extracts and recognizes the text directly from the video. Once text regions are detected within keyframes, a novel binarization algorithm, Local Adaptive Otsu (LOA), is employed to deal with the low quality of video scene text, before feeding the regions to the open source Tesseract OCR engine for recognition. We tested our system on a corpus of 8 presentation videos for a total of 1 hour and 45 minutes, achieving 0.5343 Precision and 0.7446 Recall Character recognition rates, and 0.4947 Precision and 0.6651 Recall Word recognition rates. Besides being used for multimedia documents, topic indexing, and cross referencing, our system can be integrated into summarization and presentation tools such as the VAST MultiMedia Browser [1].
In this paper, we propose a new contour detection method. The proposed approach deploys computation of a group of Gabor to get its corresponding direction image, followed by a semi-ellipticity-ring surround suppressio...
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binarization algorithms are used to create a binary representation of a raster document image, typically with the intent of identifying text and separating it from background content. In this paper, we propose a binar...
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ISBN:
(纸本)9781479923427
binarization algorithms are used to create a binary representation of a raster document image, typically with the intent of identifying text and separating it from background content. In this paper, we propose a binarization algorithm via one-pass local classification. The algorithm first generates the initial binarization results by local thresholding, then corrects the results by a one-pass local classification strategy, followed by the process of component inversion. The experimental results demonstrate that our algorithm achieves a somewhat lower binarization error rate than the state-of-the-art algorithm COS [1], while requiring significantly less computation.
Safety is one of the primary requirements of automotive manufactures and buyers and regulatory bodies are supporting this by mandating the safety features in vehicles. To achieve safety, multiple sensors such as visio...
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ISBN:
(纸本)9781510825628
Safety is one of the primary requirements of automotive manufactures and buyers and regulatory bodies are supporting this by mandating the safety features in vehicles. To achieve safety, multiple sensors such as vision cameras, radars, LIDAR and ultrasound devices are installed in the vehicle at various locations and sensor data is processed continuously using advanced algorithms. Validation of these algorithms is a critical requirement to ensure quality of the system. The present paper proposes an enhancement of the ground truth determination for automated lane detection system. The approach of time-slicing [1] has been built up on the binary framework. But the classical binarization algorithms have some limitations to address the particular domain of lane detection in an unconstrained environment and varied scenarios such as curvy and dashed lane marks. The current paper proposes a novel binarization algorithm based on min-between-max thresholding (MBMT). The adaptive binarization addresses the issue of outlier rejection in an efficient way and handles the effect of shadow, illumination variation and other factors in time-sliced images automatically. In addition the current work identifies limitation of the classical timeslice (TS) based approach even with time MBMT (TMBMT) for ground truth determination and addresses the same through second level of adaptation by spatial MBMT (SMBMT). Finally a complete mathematical model is presented to determine ground truth through the said method of hybrid or Modified MBMT or M 2 BMT. Technology disclosed in this paper is subject matter of pending patent application.
Framework and working principle of detecting and eliminating isomerism fibre in cotton system online is introduced and several key technologies involved in its design are analyzed. Experiment studies are implemented a...
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Framework and working principle of detecting and eliminating isomerism fibre in cotton system online is introduced and several key technologies involved in its design are analyzed. Experiment studies are implemented and advances solved scheme. In the technologic methods flow of cleaning and rippling the cotton, cotton has been loosed enough and impurity is removed. Then a linear CCD (charge coupled device) camera is used to capture the image of cotton and foreign *** the camera. The images are sent to the industry control computer through a high-speed frame grabber acquires digital card and operated in computer. HSI (Hue、 saturation、Intensity) color model threshold method and binarization algorithm are used to distinguish cotton with isomerism fibre. When finding the foreign fibre, the computer will send out an instrument to drive the corresponding position gas-act electromagnetism valve to act and using high-pressure gas to jet it out to the trash box. Through a series of experiments and locale debug analysis, a sample machine system is established. Through testing it can reach the need of control and exact distinguish the cotton and isomerism fibre in real time and eliminate it.
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