搜索资源列表
GUI_sanweikeshihua
- 该程序为gui程序，程序中很多菜单可以实现三维体可视化，区域生长算法进行图像分割以及栅状图三维可视化，界面很好！-The program for the gui program, the program, many of the menu can be achieved visualization of three-dimensional body, region growing algorithm for image segmentation and visualization of thre
LCL_ANT_COLONY
- 该程序是我毕业设计时候做的，是运用蚁群聚类算法进行图像分割的程序，针对普通图像跟MRI图像进行处理，效果不错！-The program is designed to graduate when I do, is to use ant colony clustering algorithm for image segmentation procedure, for the ordinary image processing with the MRI images, good results!
growcut
- GrowCut algorithm from "GrowCut" - Interactive Multi-Label N-D Image Segmentation：可用于目标提取的分割算法，包括算法原文 -GrowCut algorithm from " GrowCut" - Interactive Multi-Label ND Image Segmentation: segmentation can be used for object extraction algori
regionbased_seg
- Region Based Active Contour Segmentation：基于活动轮廓的图像分割算法，ＭＡＴＬＡＢ代码，可用于目标提取，包括实验图片-Region Based Active Contour Segmentation: Active Contour-based image segmentation algorithm, MATLAB code, and can be used for object extraction, including the experimental
GaHyp
- 超平面分割算法的c语言实现，没做界面，功能较全，通过演化算法进行优化-Hyperplane segmentation algorithm c-language implementation, not done interface and capabilities of a whole, through the evolutionary algorithm to optimize the
FCMandKFCM
- 采用模糊聚类算法和加核模糊聚类算法进行医学图像的分割。采用matlab编程，界面处理较好。 -Using fuzzy clustering algorithm and processing of nuclear fuzzy clustering algorithm for medical image segmentation. Using matlab programming, interface, better handling.
seg
- matlab图像分割识别算法。读入车牌可识别出车牌号码并输出。-matlab image segment algorithm. read in a car license plate can output the number in the plate.
threshold_surface
- 门限曲面图像分割算法。详见冈萨雷斯数字图像处理P492-Surface threshold image segmentation algorithm. See Gonzalez Digital Image Processing P492
Image_Paper_XuXG
- 用Snake算法和基于动态规划的图搜索算法，有效地实现了复杂物体轮廓特征的提取。 -With the Snake algorithm and based on dynamic programming graph search algorithm, effective implementation of the complex features of an object contour extraction.
RegionGrowing
- 用matlab实现的区域生长算法，能进行图像的区域分割！-RegionGrowing!!
segmentdfdfsdf
- 图像分割技术是图像处理领域的研究热点之一 同时 它也是一个经典难题，到目前为止不存在一种通用 的图像分割算法使它适用于所有类型的图像。很多 的分割算法与选择的参数有关，参数选取的好坏直 接影响着分割结果的好坏，不好的参数选择会影响 图像的分割结果。参数的选择存在很大的人为性。 不利于实现自动化的分割。-Image processing, image segmentation technology is one of the hot areas of research at
HSV-Space-segmentation(Training-and-Testing)
- 在HSV色彩空间进行彩色图像分割源码，包括学习和训练算法，获得分割参数-In the HSV color space for color image segmentation source code, including learning and training algorithm, access to segmentation parameters
imgkmeans
- 将K均值算法用于图像分割,输入的是彩色图像,转换为灰度图像进行分割,输出结果为灰度图像.利用灰度做为特征对每个像素进行聚类,由于光照等原因,有时应该属于一个物体的像素,其灰度值也会有很大的差别,可能导致对该像素的聚类发生错误.在分割结果中,该物体表面会出现一些不同于其它像素的噪声点,因此,算法的最后,对结果进行一次中值滤波,以消除噪声,达到平滑图像的作用-The K means algorithm for image segmentation, the input is a color imag
threshold-segmentation
- 数字图像处理，图像阈值分割和轮廓处理，对于理解分割算法，进行简单的图像编程是不错的资料！-Digital image processing, image segmentation and contour threshold treatment, for understanding the segmentation algorithm, a simple image of information programming is good!
GASA
- 基于遗传模拟退火和Otsu法的图像分割。采用一种基于模拟退火算法(SA)的混合遗传算法(GASA),来进行Otsu方法选择阈值，其中进行求解时是非线性的遗传算法（GA）的应用优化了求阈值过程，并尽可能地减少其运算量,而加入SA则避免了遗传算法(GA)常见的早熟收敛现象,从而实现有效简单的图像分割。 -adopt hybrid genetic algorithm(GASA) based on simulated annealing algorithm,choose threshold by O
Kjl
- 这是K均值聚类算法 对图像颜色进行聚类 然后对图像分割源代码-This is the K-means clustering algorithm for image clustering and then color image segmentation source code
otsu-method
- 两次利用大津法对图像进行分割，将前景与背景，白色区与背景分割开，并二值化。-Otsu method twice using image segmentation, the foreground and background, white background area and separate, and binary.
yichuansuanfa
- 遗传算法图像分割，利用遗传算法进行图像分割-Genetic algorithm image segmentation, image segmentation using genetic algorithm
watershed_segmentation
- 基于分水岭的迭代式分割算法演示，基于matlab7.6，可有效并且准确的分割目标图像-A demo for image segmentation using iterative watersheding plus ridge detection
Topological_Segmentation
- 基于拓扑导数的图像分割算法，利用某一函数计算图像拓扑导数，并为每个像素归类，从而达到分割效果。-Topology-based derivative of the image segmentation algorithm, using a function derivative calculation of the image topology, and to classify each pixel to achieve the segmentation results.