Description: 过渡区图像分割的效果评价，是清华章御晋写的！-transition zone Segmentation Evaluation of the effect of Qing Zhang Jin His writing! Platform: |
Size: 173119 |
Author:山药蛋 |
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Description: 计算所汉语词法分析系统ICTCLAS.分词正确率高达97.58%(973专家组评测)，未登录词识别召回率均高于90%，其中中国人名的识别召回率接近98%处理速度为31.5Kbytes/s。ICTCLAS的特色还在于：可以根据需要输出多个高概率结果，有多种输出格式，支持北大词性标注集，973专家组给出的词性标注集合。-Calculate the Chinese Lexical Analysis System ICTCLAS. Segmentation correct rate of 97.58 percent (973 Expert Group on Evaluation), the recall rate of identification of unknown words were higher than 90 percent, of which China s name to identify the recall rate of nearly 98 percent processing speed for 31.5Kbytes/s. Also features ICTCLAS is: can output a number of high probability that there are a variety of output formats, to support the North-of-speech tagging sets, 973 expert group is given a collection of-speech tagging. Platform: |
Size: 3140608 |
Author:站长 |
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Description: 过渡区图像分割的效果评价，是清华章御晋写的！-transition zone Segmentation Evaluation of the effect of Qing Zhang Jin His writing! Platform: |
Size: 173056 |
Author:山药蛋 |
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Description: Iterative Watershed Segmentation (IWS)
This code is free of charges and it can be used for demonstration and evaluation purposes only. It is not allowed to use this code in any commercial purpose.
The author s approval must be requested for any modification of the initial code as it is presented in the zip file available to download. The following point called "Copyright text" must always appear verbatim in the source codes and the license text.
There is no warranty about the results obtained using this code. This is a free code, so you use it at your own risks.-Watershed Segmentation (IWS) T his code is free of charges and it can be used for d emonstration and evaluation purposes only. It is not allowed to use this code in any commercial purpose. The author's approval must be requeste d for any modification of the initial code as it i 's presented in the zip file available to downloa d. The following point called "Copyright text" must always appear verbatim in the source codes and the license text. There is no warranty about the results obtained using this code. This is a f ree code, so you use it at your own risks. Platform: |
Size: 1305600 |
Author:陈西 |
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Description: 本文对几何模型匹配方法进行了研究，提出了一套完整的人脸定位算法。在预处理部分，采用了特别的增强人脸特征与脸部皮肤之间对比度的方法及局域取阈值二值化方法，改进了预处理的效果。在图像分割部分，实现了经典的分合算法，并且使用成组算法改进了分合的效果。在人脸匹配部分，实现了基于眼睛和嘴的几何模型匹配，并对评价函数的构造进行了研究-geometric model of this matching method for the study and submit a complete set of facial positioning algorithm. In preprocessing, using a special facial features enhanced facial skin and the contrast between the methodology and obtain local threshold value of the two methods, improved the pretreatment results. Image segmentation, the realization of the classical division algorithm, and the use of group division algorithm improved results. Face in the match, based on the realization of the eyes and mouth of the geometric model matching and evaluation function of the tectonic study Platform: |
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Author: |
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Description: 关于图象分割性能评估的评述。概述了图象分割性能评估的发展,总结了分割性能评估的基本理论框架:确定图象分割性能评估指标、构造评估测试图象集、评估模型与实验分析,以及分割性能评估的常用方法:统计法、分析法、基于AI的方法和混合法。对评估模型的设计作了一些尝试性的探讨。-Performance Evaluation of Image Segmentation on the comments. Image segmentation provides an overview of the development of performance evaluation, summed up the partition properties of the basic theoretical framework to assess: determine the image segmentation performance evaluation indicators, structural assessment test image set to assess the model and experimental analysis, and segmentation performance evaluation of commonly used methods: statistical method, analysis method, based on AI methods and hybrid method. Model for assessing the design of some of the trial. Platform: |
Size: 45056 |
Author:依静 |
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Description: 汉语词法分析系统ICTCLAS(Institute of Computing Technology, Chinese Lexical Analysis System)，该系统的功能有：中文分词；词性标注；未登录词识别。分词正确率高达97.58 (973专家组评测)，未登录词识别召回率均高于90 ，其中中国人名的识别召回率接近98 处理速度为31.5Kbytes/s。ICTCLAS的特色还在于：可以根据需要输出多个高概率结果，有多种输出格式，支持北大词性标注集，973专家组给出的词性标注集合。该系统得到了专家的好评，并有多篇论文在国内外发表。-Chinese Lexical Analysis System ICTCLAS (Institute of Computing Technology, Chinese Lexical Analysis System), the system s features are: Chinese word segmentation-of-speech tagging unknown word identification. The correct segmentation rate of 97.58 (973 expert group evaluation), identification of unknown word recall rate were higher than 90 , one of the Chinese names to identify the recall rate of nearly 98 rate of treatment 31.5Kbytes/s. Also features ICTCLAS is: can output a number of high probability of a result, have a variety of output formats, to support the Beijing University of-speech tagging sets, 973 expert group give a collection of-speech tagging. The system has been praised by experts, and a number of papers published at home and abroad. Platform: |
Size: 4434944 |
Author:lwl |
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Description: 包含了主要的图像质量评价的matlab源程序。图像熵，图像的方差和，以及基于边缘检测算子的质量评价函数。-Contains the main image quality evaluation of the matlab source code. Image entropy, variance and images, as well as edge detection operator based on the quality of the evaluation function. Platform: |
Size: 3072 |
Author:巫军 |
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Description: 一本系统介绍图像分割和评价的书，对学习图像分割的人来说，非常好用-Introduced a system of image segmentation and evaluation of books for learning image segmentation of people, very easy to use Platform: |
Size: 3869696 |
Author:liangjiapeng |
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Description: 图像分割，具体算法参考一下论文
Zhi-Gang Tan， Xiao-Chen Heand Nelson H. C. Yung
A Novel Merging Criterion Incorporating Boundary Smoothness and Region Homogeneity for Image Segmentation-Abstract
A novel joint region merging criterion combining region homo-geneity and boundary smoothness is proposed. Previous watershed segmentation method which utilizes region homogeneity or edge integrity or both gives good results in some cases. However, for complex scenes such as images of a vehicle with irregular roadside objects reflected on the window panes, it tends to give undesired segmentation results with region boundaries not residing on real physical boundaries. Aiming at improving the segmentation of these complex scenes, we propose the incorporation of an additional measure of boundary smoothness into a new joint criterion. Based on this, an affine transform invariant measure of the smoothness of boundaries is developed, which is the equivalent width of the energy distribution function over frequencies, obtained from Fourier descriptors of the boundary. Experimental results and evaluation are presented in this paper to demonstrate the merits of the proposed method.
Key Platform: |
Size: 9216 |
Author:Jack Tan |
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Description: 可以检测图像中圆和直线的信息，有利于初学者使用学习。-Edge detection has played an important role in the field of computer vision. A parametric edge detection method based on recursive mean-separate image decomposition is introduced. A method for automatic parameter selection and two methods for thresholding are also suggested. Experimental results show that the proposed method outperforms many popular edge detection methods, including Sobel, Prewitt, Frei-Chen, and Canny both visually and by quantitative edge map evaluation. Proper parameter selection can also provide segmentation of materials such as potential threat objects in x-ray luggage scan images. Platform: |
Size: 13312 |
Author:力量 |
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Description: 该文章总结了近几年来一些经典的图像分割算法，并对他们的效果进行了评测。 从中可以了解该领域动向，对调研工作有很大帮助。-The article summarizes recent years a number of classical image segmentation algorithm, and the evaluation of their effectiveness. From this we can understand the trends in the field of research have greatly facilitated. Platform: |
Size: 719872 |
Author:yuhaonan |
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Description: 指纹图像的质量测量与评价,在指纹图像分割、增强及指纹匹配等环节都有重要应用. 同时,指纹图像的质量分类,对指纹识别算法的适用性研究也有重要意义. 本文提出一种基于支持向量机的指纹图像质量分类方法.该方法选择梯度、Gabor特征、方向对比度等指标,利用支持向量机有效实现指纹图像质量分类. 并采用少类样本合成过采样技术( SMOTE)降低指纹图像质量好坏的类别不平衡问题对分类的影响. 理论分析和实验结果都表明该方法能够较为有效地提高指纹图像质量分类的正确率.-Fingerprint Image Quality Measurement and evaluation, in the fingerprint image segmentation, enhancement and fingerprint matching has important applications such links. Meanwhile, the quality of fingerprint image classification, on the applicability of fingerprint recognition algorithm is also important. In this paper, based on support vector machine classification of fingerprint image quality. The method chosen gradient, Gabor features, such as indicators of the direction of contrast, the effective use of support vector machine classification of fingerprint image quality. and use a small sample of synthetic over-sampling technique class (SMOTE) lower quality fingerprint image the type of imbalance bad influence on the classification. Theoretical analysis and experimental results show that the method can be used effectively to improve the quality of fingerprint image classification accuracy. Platform: |
Size: 564224 |
Author:郭事业 |
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Description: 中文分词评测系统，用于评测中文分词的质量，给出准确率等-Chinese word segmentation evaluation system for evaluating the quality of Chinese word segmentation, given the accuracy of such Platform: |
Size: 3072 |
Author:miaoer |
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Description: 基于C++和Matlab的图像分割和清晰度评价函数。采用图像信息熵来作为清晰度评价函数。-C++ and Matlab-based image segmentation and definition evaluation function. Using image information entropy as the sharpness function. Platform: |
Size: 1024 |
Author:王斌 |
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Description: 本文主要介绍了图像分割的两大类方法基于边缘的分割方法和基于区域的分割方法及其各自存在的问题和最新进展同时简单介绍了物理的分割方法和图像分割评价最后指出了图像分割技术的发展趋势-In this paper, two types of image segmentation method segmentation method based on the edge of the region-based segmentation method and their respective problems and the latest developments and provided a brief introduction to the physical segmentation and image segmentation evaluation concluded that the image segmentation techniques trends Platform: |
Size: 77824 |
Author:xiliao |
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Search - Segmentation evaluation