Description: 机器视觉技术是计算机科学的重要研究领域，其中背景图像中字符的提取和识别有重大的研究意义.通过分析复杂背景中字符存在的特点，针对快速分割和识别的应用需求，提出了一种在色调上将阀值法和区域生长法相结合的分割方法.-Machine vision technology is an important computer science research areas, including the background character image extraction and identification of major significance. Through the analysis of complex characters exist in the background characteristics, for rapid segmentation and identification of application requirements, a in General hue threshold and region growing segmentation combined method. Platform: |
Size: 150528 |
Author:casey1986 |
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Description: 图像分割算法，区域生长法，基于一个种子点分割脑部MRI图像-Image segmentation algorithm, region growing method, a seed point based on segmentation of brain MRI images Platform: |
Size: 38912 |
Author:alison |
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Description: 利用区域生长法实现对图象的分割，此为C-C++代码-Realize the use of region growing segmentation of images, this is C-C++ Code Platform: |
Size: 1024 |
Author:王英 |
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Description: 含图像平滑，区域生长法图像分割，可以选取多个种子，-Including image smoothing, region growing image segmentation, you can select more than one seed, Platform: |
Size: 3835904 |
Author:zhao |
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Description: C语言编写的图像分割程序，采用region growing区域生长算法，只能用于pgm灰度图-C language image segmentation procedures, the use of region growing region growing algorithm, can only be used for grayscale pgm Platform: |
Size: 3072 |
Author:丛威 |
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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: 区域生长法进行图像分割的c++程序，以一个种子点进行区域生长-Region growing method of image segmentation c++ Procedures to a seed point for regional growth Platform: |
Size: 3815424 |
Author:葛秘蕾 |
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Description: 基于区域生长法的MATLAB图像分割程序 -Region growing method based on the MATLAB image segmentation procedure based on the region growing segmentation of the MATLAB program Platform: |
Size: 1024 |
Author:占广 |
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Description: This attachment contain several matlab files for image segmentation, including region growing, FCM. Platform: |
Size: 986112 |
Author:a_veloz |
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Description: 基于边缘检测和区域生长的自然彩色图像分割源码-Based on edge detection and region growing source of natural color image segmentation Platform: |
Size: 262144 |
Author:小馨 |
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Description: This code contains region growing segmentation algorithm to obtain the similar edges in color images Platform: |
Size: 66560 |
Author:Rekha.N |
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Description: 1. 应用自适应中值滤波对图像进行去噪。
2. 根据直方图选择门限值。
3. 对图像中白色的部分应用区域生长法进行分割。
4. 对去噪的后的图像进行求反，然后对方形和三角形应用区域生长法分割。
-1. Application of adaptive median filter for image denoising. 2. According to the histogram selection threshold. 3. For the image in the white part of the application of region growing segmentation method. 4. For the post-image denoising is evaluated against, and then application of square and triangle region growing segmentation. Platform: |
Size: 29696 |
Author:刘一霖 |
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Description: 本程序时应用MATLAB分割技术中的区域生长来实现图像分割-Application of MATLAB in this program in the region growing segmentation technique to achieve image segmentation Platform: |
Size: 1024 |
Author:langchen |
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Description: 在最优阈值分割的基础上,用自动区域生长去除气管/支气管区域,对边界跟踪法进行改进以快速
去除背景干扰和获得肺部边界,最后进行肺部边界修补得到完整的肺部图像。算法采用迭代法寻找最
优阈值解决了阈值选取的敏感性问题,提出了基于前层图像中气管/支气管位置的气管/支气管提取方
法,避免了种子点的人工选取,基于前次搜索方向改进了八邻域搜索方法来提高边界跟踪的速度。
-In the optimal threshold segmentation based on region growing with automatic removal of the trachea/bronchus region, to improve the boundary tracing method to quickly remove the background interference and access to the lung border, and finally to get the complete repair of lung lung border image. Algorithm uses the iterative method to find the optimal threshold to solve the sensitivity threshold selection problem, a layer of the image based on the previous tracheal/bronchial location trachea/bronchus extraction method, to avoid the manual selection of seed points, based on previous search the direction of improving the eight neighborhood search methods to improve the speed of boundary tracking. Platform: |
Size: 379904 |
Author:fuky |
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Search - region growing segmentation