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: 边缘图象分割程序，是使用vb编程，希望有帮助-edge image segmentation procedures, the use of vb programming, with the hope of helping Platform: |
Size: 4096 |
Author:梁信勇 |
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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: 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: 一个车牌字符分割小程序，分割效率高。实现简单-A license plate character segmentation of small procedures, segmentation and high efficiency. Realize a simple Platform: |
Size: 65536 |
Author:长工 |
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Description: 介绍了视觉颜色空间及其在交互式图像分割中的作用, 实验分析了它的奇异性, 在此基础上, 考虑像素的
空间和色彩分布, 提出了基于区域生长法的多颜色空间、 多度量准则的聚类算法和零碎区域的合并算法, 颜色空间选取HSL 和RGB 两种, 相似性度量包括了种子点、 扩张点和生长区域三个方面, 并用于敦煌壁画图像的分割.-Introduce the visual color space and its application in interactive image segmentation of the role, experimental analysis of its singularity, on this basis, taking into pixel space and color distribution, based on region growing multi-color space, multi-metric criteria clustering algorithm and fragmented region merging algorithm, select the HSL color space and RGB are two similarity measure, including the seed point, the expansion point and the three aspects of regional growth, and for image segmentation in Dunhuang murals. Platform: |
Size: 348160 |
Author:singro jiang |
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Description: the code write C++. it is in image processing field. this code Read TIFF Image then it segment images. after that it Write TIFFU nsigned Char. Platform: |
Size: 1677312 |
Author: |
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Description: MFC实现对图像的基本处理，包括图像分割，边缘提取等功能，主要实现对 8位或者24位图的操作。-MFC to achieve the basic image processing, including image segmentation, edge detection and other functions, mainly to achieve 8-bit or 24-bit map operation. Platform: |
Size: 109568 |
Author:王俊 |
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Description: 数字图像处理领域中的一些应用实例，以理论和实践相结合的方式，系统地介绍了如何使用C#进行数字图像处理。
全书共11章，分别讲述了图像的点运算、几何运算、数学形态学图像处理方法、频率变换、图像平滑与去噪、边缘检测、图像分割、图像压缩编码和彩色图像处理等相关技术。-Digital image processing in the field of some application examples to the theory and practice, a combination of systematically describes how to use C# for digital image processing. The book has 11 chapters, respectively, the point about the image computing, geometric computing, mathematical morphology image processing method, frequency conversion, image smoothing and denoising, edge detection, image segmentation, image compression and color image processing and other related technologies. Platform: |
Size: 1009664 |
Author:yangou |
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Description: 一个基于图形的高效图像分割算法，包括论文及相应的源代码。-This paper addresses the problem of segmenting an image into regions. We define a predicate for
measuring the evidence for a boundary between two regions using a graph-based representation of the image. We
then develop an efficient segmentation algorithm based on this predicate, and show that although this algorithm
makes greedy decisions it produces segmentations that satisfy global properties. We apply the algorithm to image
segmentation using two different kinds of local neighborhoods in constructing the graph, and illustrate the results
with both real and synthetic images. The algorithm runs in time nearly linear in the number of graph edges and
is also fast in practice. An important characteristic of the method is its ability to preserve detail in low-variability
image regions while ignoring detail in high-variability regions Platform: |
Size: 455680 |
Author:xudq |
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Description: Segmentation (image processing)
From Wikipedia, the free encyclopedia
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In computer vision, segmentation refers to the process of partitioning a digital image into multiple segments (sets of pixels) (Also known as superpixels). The goal of segmentation is to simplify and/or change the representation of an image into something that is more meaningful and easier to analyze
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Size: 25600 |
Author:joko |
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Search - segmentation image