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MATLAB-image-processing-master (1)
- 图像处理算法在空间域和频域的简单滤波等方面的实现,实现了像霍夫变换和k均值算法的图像分割算法。(Image processing algorithm in the spatial domain and frequency domain of simple filtering and other aspects of the realization of the image segmentation algorithm such as Hough transform and k-means alg
matlab实现图像锐化
- 使用巴特沃斯高通滤波器实现图像锐化,用sobel算子实现图像分割,阈值分割图像(Using the Butterworth high pass filter to achieve image sharpening, the image segmentation is realized by Sobel operator and the threshold image is segmented.)
snake
- 基于形变的图像分割技术,snake模型(matlab环境使用)(Image segmentation, snake model)
matlab 处理
- 对图中微流道各个形状模块进行分割,并计算了微流道的宽度,还有入射光钎到接受光纤的距离。(The specific module is divided and the length and width are calculated.)
example for Graph Cuts
- 图割算法,用于彩色图像分割 ,一种最优化方法,通过最小化能量函数达到分割的目的(In more recent years, there has been an increasing interest in graph cut based segmentation methods due to their ability to handle highly textured data via a numerically robust global optimization)
ICM(能量终止)
- 基于条件迭代法与马尔可夫随机场的遥感图像分割的matlab代码(the image segmentation based on the ICM and Markov random field)
SA(能量终止)
- 基于模拟退火与马尔可夫随机场的遥感图像分割的matlab代码(the image segmentation based on the SA and MNF)
KFCM算法MATLAB
- 分别用kmeans、fcm、kfcm实现图像分割(use kmeans, fcm and kfcm segment image)
k-means
- 利用matlab程序编写的图像分割代码,算法为kmeans聚类算法,分割速度和效果很好(The image segmentation code written by MATLAB program, the algorithm is kmeans clustering algorithm, the segmentation speed and effect is very good)
split
- 利用matlab程序编写的图像分割代码,算法为区域生长算法,效果很好(Image segmentation code written by MATLAB program, the algorithm is regional growth algorithm, the effect is very good)
image reversal
- 1.图像反转 MATLAB程序实现如下: I=imread('xian.bmp'); J=double(I); J=-J+(256-1); %图像反转线性变换 H=uint8(J); subplot(1,2,1),imshow(I); subplot(1,2,2),imshow(H);(1. image reversal The MATLAB program is implemented as follows: I=imread ('xian.b
code
- matlab平台下实现简单阈值法图像分割,并通过连通域标注分割后的图像(matlab code for image segmentation)
数字图像处理—冈萨雷斯matlab程序
- 对图像进行识别,分类。同时对图像压缩,形态学图像处理,图像分割产生很好的效果。(Recognition and classification of images)
fcm
- 可直接调用matlab自带的fcm函数做图像分割,并给出了分割效果图(It can directly call Matlab's own FCM function to do image segmentation, and gives the segmentation effect picture)
基于 K-means 聚类算法的图像区域分割
- 基于K-means聚类算法的图像区域分割(Image region segmentation based on K-means clustering algorithm)
edge
- 5种经典的边缘检测算子分析,图像需要自己寻找(image detection canny)
2b509aabc32f4a3be87b452a94226f45
- 结合模糊C均值聚类算法与水平集方法的图像分割代码,分割效果良好。(The image segmentation code based on fuzzy c-means clustering algorithm and level set method has a good segmentation effect.)
matlab.thresholding-master
- 在计算机视觉中,图像分割是将图像分成多个片段的过程。这使我们能够通过以比原始图像更简单的表示方式来更好地分析图像。一种用于分割图像的方法是阈值分割;也就是说,将强度值低于阈值的所有像素设置为背景值,而将高于阈值的其他像素设置为前景值。最简单的阈值处理形式是对所有像素使用全局阈值,而自适应阈值处理根据像素及其周围环境动态改变阈值。典型地,阈值处理从灰度图像开始,并输出二进制图像以清晰地描绘图像中的片段。在本实验中,我们开发了一种自适应阈值算法,并将其与更简单的算法进行了比较。 此外,我们还开发了
ImproveCanny
- 一个改进的自适应canny算法,该方法采用改进的开关型中值滤波器对图像做去噪工作,再把整幅图像分割为若干子图像,最后在充分考虑全局以及各子图像的边缘梯度信息后,自适应地生成动态阈值。(The new Canny adaptive method divides image into sub-images,then determinates the thresholds automatically according to the whole image edge information and t
OSTU
- 用OSTU和KSW实现多阈值图像分割,matlab代码(Image Segmentation Using OSTU and KSW)