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: 经典区域生长源码(区域增长),比起灰度阈值法有不可比拟的优势,一旦尝试,欲罢不能啊,只是,在实时性应用方面还有待改进,m代码编写易懂,易用,易改写成其他语言,如果改写成c,应该速度有所提高.请尽情享用-Classical region growing source (regional growth), compared to gray-scale threshold method has unparalleled advantages, once the attempt to stop ah, but, in real-time applications have yet to be improved, m coding easy to understand, easy to use, easy to rewritten into other languages, if rewritten into c, the speed should be improved. please enjoy Platform: |
Size: 1024 |
Author:zz |
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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: 基于分水岭自动选取种子的区域生长来进行彩色图像分割-Automatically selected based on the watershed to the seed region growing for color image segmentation Platform: |
Size: 5120 |
Author:Image |
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Description: 采用种子区域生长（seeded region growing）算法对灰度图像和彩色图像进行分割-The seed region growing (seeded region growing) algorithm for gray image and color image segmentation Platform: |
Size: 600064 |
Author:jiang |
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Description: 基于边缘检测和区域生长的彩色图像分割，设计论文+VC代码-Based on edge detection and region growing for color image segmentation
Design thesis+ VC code
Platform: |
Size: 226304 |
Author:林静 |
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Description: In this work, a new approach to fully automatic color
image segmentation, called JSEG, is presented. First, colors
in the image are quantized to several representing
classes that can be used to differentiate regions in the
image. Then, image pixel colors are replaced by their corresponding
color class labels, thus forming a class-map of
the image. A criterion for “good” segmentation using this
class-map is proposed. Applying the criterion to local windows
in the class-map results in the “J-image”, in which
high and low values correspond to possible region boundaries
and region centers, respectively. A region growing
method is then used to segment the image based on the
multi-scale J-images. Experiments show that JSEG provides
good segmentation results on a variety of images. Platform: |
Size: 4101120 |
Author:artjuna |
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Description: Cutpicture(form)做的是直方图统计：
第一步：读入图片，并将彩色图片用公式转化为灰度图像。
第二步：用区域生长法将图片分块并对每一块做直方图统计，用广度优先搜索完成，子程序是int flood_fill()。返回值是区域内的点的数量。判断是否属于同一块区域的条件是前面搜索得到的灰度平均值是否大于给定阈值（即threshold，由用户输入决定）。
第三步：任意两块区域对区域直方图的每个色阶比例的差的绝对值求和，若和小于阈值（即threshold2，由用户输入决定）则合并两块区域.区域绝对值求和的子程序为void statistics(),用于合并块的子程序为void combine(int obj1,int obj2)。
第四步：将占总面积1/10以上的块号输出，由用户决定要选哪一块做为最后需要的图片，并输出合并的块的数量。最后输出图像。-Cutpicture (form) do the histogram statistics:
The first step: read into the picture, and the color image into gray image using the formula.
The second step: the picture into blocks and each block of the histogram statistics with region growing method, using breadth-first search is complete, a subroutine is int flood_fill (). The return value is the number of points. Determine whether the same area condition is gray front search the average is greater than a given threshold (i.e. threshold, input is decided by the user).
Step third: each color proportion of arbitrary two pieces of area of the histogram of the absolute value of the difference between the sum, if less than the threshold (i.e. threshold2, input is decided by the user) is the merger of the two block area. Regional absolute value summation subroutine for void Statistics (), is used to merge the block subroutine for the void combine (int obj1, int obj2).
The fourth step: the total output block number more than 1/10, the Platform: |
Size: 3072 |
Author:吴魏 |
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Description: 用4领域和8领域跟踪算法解决一个边界跟踪问题，很详细，欢迎下载-With four fields and eight field boundary tracking algorithm to solve a tracking problem in great detail, welcome to download Platform: |
Size: 18432 |
Author:赵赵 |
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Description: 一个种子为生长点的彩色图像区域生长程序。交互式Matlab实现-A seed for the growing point of color image region growing process. Each type of Matlab Platform: |
Size: 1024 |
Author:小花 |
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Description: 基于matlab的彩色图像分割实验，运用meanshift算法以及区域生长法，算法包含漏检数，正确率的计算。-Matlab-based color image segmentation experiments, the use of algorithms and meanshift region growing algorithm contains the number of missed, calculate the correct rate. Platform: |
Size: 198656 |
Author:江宸瀚 |
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Search - color image region growing