Description: Abstract: Effective data processing is required with the fast development of multimedia technology. Compressed-domain images/video processing techniques have captured the attention of many researchers in recent years, and research on face detection and tracking in compressed-domain video becomes a new trend. Based on the analysis of the background and research status, some important future directions are presented.
Key words: face detection；face tracking；compressed domain -Abstract : Effective data processing is required with the fast development of multimedia technology. Co. mpressed-domain images/video processing Edge (have captured the attention of many res earchers in recent years, and research on face detection and tracking in c Item-domain video becomes a new trend. Ba sed on the analysis of the background and resear ch status, some important future directions are presente d. Key words : face detection; face tracking; compressed domain Platform: |
Size: 145408 |
Author:黄永 |
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Description: 文件包含matlab图形处理若干M文件，这些文件可以进行图形分割及边缘检测．诸位可以通过运行这些文件来熟悉边缘检测技术．-Matlab handle graphics file contains a number of M documents, which can be divided graphics and edge detection. You can run these files to become acquainted with the edge detection techniques. Platform: |
Size: 614400 |
Author:陈跃飞 |
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Description: 使用模糊推理技术进行边缘检测。在边缘检测中使用模糊集下的算法是可行的！-The use of fuzzy reasoning edge detection techniques. Edge detection in the use of fuzzy sets under the algorithm is feasible! Platform: |
Size: 4832256 |
Author:xiaochunlei |
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Description: 针对压力锅炉机组主蒸汽管道碳钢部件金相组织石墨化程度的检测问题，选择
适合的算法，将数字图像处理和模式识别技术运用于金相组织测量之中,建立一套对
石墨化级别进行识别的图像检测系统。针对石墨化部分原始图片灰度区间窄的特
征，通过图像预处理使图像清晰，突出石墨组织，采用边缘检测方法，提取出要检
测的粗大呈黑色的石墨组织。最后采用最近领域法进行图像识别，判断碳钢石墨化
的程度。-Pressure boiler unit for the main steam pipe of carbon steel components of the degree of microstructure of graphite detection problem, select the appropriate algorithms, digital image processing and pattern recognition techniques applied to measurement of microstructure, and to establish a level of graphitization identifiable image detection system. For graphite gray picture of part of original narrow range of features, image pre-processing the image through the clear, prominent graphite organizations, the use of edge detection methods, extracted to detect the coarse graphite black organizations. Finally the use of the recent field of image recognition method to determine the extent of graphitization of carbon steel. Platform: |
Size: 1831936 |
Author:孙建青 |
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Description: VisualC++数字图像处理何斌等编2001年4月第1版-本书主要讲述如何使用Visual C++进行数字图像处理。全书共11章，分别介绍了图像的点运算、几何变换、正交变换、图像增强、腐蚀算法、膨胀算法、细化算法、边缘检测与提取、轮廓跟踪、图像分析、图像复原和图像的压缩编码技术，对每种常用的数字图像处理方法，本书都提供了完整的源代码。
-VisualC++ Digital image processing HE Bin et al April 2001 1st edition- this book focuses on how to use Visual C++ For digital image processing. Book a total of 11 chapters, each depicting an image of the point of computing, geometric transform, orthogonal transform, image enhancement, corrosion algorithm, the expansion algorithm, thinning algorithm, edge detection and extraction, contour tracing, image analysis, image restoration and image compression coding techniques, for each of the commonly used digital image processing methods, this book provides a complete source code. Platform: |
Size: 16402432 |
Author:夏瑞雪 |
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Description: OpenCv is powerfull tool for the image processing applications. this code demonstrates how to use edge detection techniques in opencv Platform: |
Size: 173056 |
Author:ravindra |
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Description: This application shows how to use edge detection techniques for the GUI processing using opencv. Platform: |
Size: 105472 |
Author:ravindra |
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Description: Abstract—This paper proposes a new technique for face detection
and lip feature extraction. A real-time field-programmable
gate array (FPGA) implementation of the two proposed techniques
is also presented. Face detection is based on a naive Bayes classifier
that classifies an edge-extracted representation of an image. Using
edge representation significantly reduces the model’s size to only
5184 B, which is 2417 times smaller than a comparable statistical
modeling technique, while achieving an 86.6 correct detection
rate under various lighting conditions. Lip feature extraction uses
the contrast around the lip contour to extract the height and width
of the mouth, metrics that are useful for speech filtering. The
proposed FPGA system occupies only 15 050 logic cells, or about
six times less than a current comparable FPGA face detection
system.-Abstract—This paper proposes a new technique for face detection
and lip feature extraction. A real-time field-programmable
gate array (FPGA) implementation of the two proposed techniques
is also presented. Face detection is based on a naive Bayes classifier
that classifies an edge-extracted representation of an image. Using
edge representation significantly reduces the model’s size to only
5184 B, which is 2417 times smaller than a comparable statistical
modeling technique, while achieving an 86.6 correct detection
rate under various lighting conditions. Lip feature extraction uses
the contrast around the lip contour to extract the height and width
of the mouth, metrics that are useful for speech filtering. The
proposed FPGA system occupies only 15 050 logic cells, or about
six times less than a current comparable FPGA face detection
system. Platform: |
Size: 28409856 |
Author:ramanaidu |
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Description: windows系统VC环境下关于图像处理中锐化及边缘检测技术的源代码-sharpening and edge detection techniques in image processing source code under the windows system VC environment Platform: |
Size: 4242432 |
Author:湖泽 |
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Description: There are four levels of implementation to apply:
1. To use “edge function” with the Sobel, Prewitt,average,disk,gaussian,log,motion,prewitt,unsharp options
2.To use convolution filtering with both the “imfilter” and standard convolution techniques
3.To use a non linear or non convolution based technique to illustrate the application of “range” or“averaging” based edge detection.
4.To use a non-linear region based statistical technique to analyse differences in local image
texture Platform: |
Size: 5120 |
Author:deepsash |
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Description: This remote sensing image enhancement project. Which deals with image enhanement and noise removal from rsi images. It also uses different edge detection techniques for image enhancement-This is remote sensing image enhancement project. Which deals with image enhanement and noise removal from rsi images. It also uses different edge detection techniques for image enhancement Platform: |
Size: 8192 |
Author:dulari |
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Description: Canny edge Detection, Watershed Segmentation, Stereo Matching and Lucas-Kanade techniques. Using C++ and blepo (A library create at Clemson University to handle image processing) Platform: |
Size: 71680 |
Author:穿山甲说
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Description: Contains three problems - Texture Classification using k means and Laws filters, Vehicle Classification using SIFT and SURF features and BOWs approach and Edge Detection techniques Platform: |
Size: 1382400 |
Author:穿山甲说
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Search - edge detection techniques