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- 编写MATLAB函数来分别对测试图像Fig0316(1)和Fig0316(4)进行直方图均衡化。显示图像均衡化之前和之后的直方图。-Write MATLAB functions to perform histogram equalization for the test images “ Fig0316(1)(top_left)” and “ Fig0316(4)(bottom_left) ” respectively. Show the histograms of the images bef
picture--chasing
- 背景建模和前景分割的方式把运动车辆提取出来。并进行最近临关联,输出目标轨迹。 MeanShift运动目标跟踪 matlab程序 1.截取跟踪目标矩阵rect 2.求取跟踪目标的加权直方图hist1 3.读取视频序列中的一帧, 先随机取一块与rect等大的矩形,计算加权直方图hist2。 4.计算两者比重函数,如果后者差距过大, 更新新的矩阵中心Y,进行迭代(MeanShift是一种变步长可以迅速接近概率密度峰值的方法),直至一定条件后停止。
background-separation
- 基于灰度直方图的otsu(大津法)改进算法实现图片前景背景分离(matlab代码,实验报告)-Improved algorithm based on gray-scale histogram the otsu (Otsu method) background picture prospects separation (Matlab code, lab report)
imageproc
- 用matlab对图像进行五类基本运算,例如灰度直方图,邻域平均,局域增强,中值滤波-Image using matlab five types of basic operations, such as histogram, neighborhood average, local enhancements, median filtering
division
- 自动选择阀值与手动选择阀值的阀值分割算法,灰度直方图的matlab实现-Automatic selection valve value and manually choose valve value of threshold segmentation algorithm, gray histogram in matlab
3_edge
- matlab实现图像边界跟踪。hough变换,自动直方图阈值分割等。-Matlab achieve image boundary tracking. Hough transform, automatic histogram threshold segmentation.
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- 基于MATLAB的图像处理的基本运算 (1)能够对图像亮度和对比度变化调整,并比较结果 (2)编写程序通过最近邻插值和双线性插值等算法将用户所选取的图像区域进行放大和缩小整数倍的和旋转操作,并保存,比较几种插值的效果 (3)图像直方图统计和直方图均衡,要求显示直方图统计,比较直方图均衡后的效果。 (4)对图像加入各种噪声,比较效果。 -Adjustment of image brightness and contrast changes, and compare the re
Images_processing1
- 使用MATLAB GUI用户界面实现对打开的图像进行直方图均衡化,加噪(设置均值和方差),旋转(设置旋转角度)并保存。-MATLAB GUI user interface to open image histogram equalization, plus noise (set the mean and variance), rotation (to set the rotation angle) and save.
Images_processing2
- 使用MATLAB GUI用户界面实现对打开的图像进行灰度直方图、直方图均衡化、统计直方图(算法实现)、亮度和对比度调整(可设置大小)处理,并保存。-MATLAB GUI user interface to open image histogram, histogram equalization, the statistical histogram (algorithm), brightness and contrast adjustment (set size) processing, and
Images_processing3
- 使用MATLAB GUI用户界面实现基本图像处理 直方图处理,加噪,反转,旋转,图像调整,加减处理,平移 ,镜像,缩放,傅里叶变换等。-Histogram processing of basic image processing using MATLAB GUI user interface, adding noise, inversion, rotation, image adjustment, addition and subtraction processing, translatio
code.rar
- 高频强调滤波和直方图均衡化相结合的图像锐化matlab源程序来处理红外静脉图像,High frequency filter and histogram equalization emphasizes the combination of image sharpen matlab source program to deal with infrared vein image
DLGPro_Matlab
- 《数字图像处理》课程Matlab项目框架 已测试,可适用于Matlab8.0及以后版本 Project 1. 实践主要内容: 1) 实现直方图均衡化. (3分) 读入一幅图像, 进行直方图统计, 求图像的均值和二阶矩. 2) 实现直方图规定化. 读入两幅图像, 分别进行直方图统计, 以其中一个为规定化直方图实现另一图像的直 方图规定化.-" Digital Image Processing" course the Matla
code
- 用matlab进行图像检索,基于边缘直方图(EHD)描述子,它是MPEG-7标准中提出的一种边缘描述子,它具有描述图像亮度变化的方向和频率的能力。资料为主程序代码。-Matlab for image retrieval, based on the descr iption of the edge histogram (EHD) sub, it is proposed in the MPEG-7 standard descr iptor an edge, it has the direction
zhifangtujunhenghua
- 用matlab实现图像的直方图均衡化算法,用于图像增强,代码简单详细-Achieve with matlab image histogram equalization algorithm for image enhancement, the code is simple and detailed
zhifangtu2
- 在matlab环境下实现的直方图均衡化算法,用于图像增强,注释详细,程序易懂-Histogram equalization algorithm in Matlab environment for image enhancement, detailed notes, the program easy to understand
tt
- 读取RGB24彩色图像的dat文件,没帧图片大小为320*240,然后对图片进行直方图均衡,一种是调用matlab接口,一种是自己写的,读取C语言处理的dat文件,都显示出来进行对比-Read the RGB24 color image dat file, no frame picture size is 320* 240, and then the image histogram equalization, a call matlab interface, one is to write yo
im_hist_covercome
- 通过自定义数学运算,在图像处理中做直方图均衡化的matlab实现-Through custom mathematical operation, do the histogram equalization of matlab in image processing
AIVHE
- AIVHE算法(Adaptively Increasing the Value of Histogram.)基本原理是对输入图像的直方图进行修正与重组,得到输出图像的直方图。最后得到均衡后的图像。文件中包含AIVHE算法的matlab源代码,论文与输入源图像。-To the algorithm AIVHE (Adaptively Increasing the value of Histogram) The basic principle is to be corrected with recom
AMHE
- AMHE算法(Adaptively Modified Histogram Equalization)。基本原理是根据pmid将原图像直方图进行重组,最后得到均衡后的图像。文件中包含AMHE的matlab源代码,论文,以及输入图像。-The algorithm AMHE (Adaptively Modified Histogram Equalization). The basic principle is based on the the pmid original image histogram
DSIHE
- DSIHE算法(Dualistic Sub-Image Histogram Equalization method)。基本原理是将图像根据面积分割为两部分,使图像的熵达到最大值。文件中包含DSIHE的matlab源代码,论文,以及输入图像-DSIHE algorithm (Dualistic Sub-Image Histogram Equalization method). The basic principle is to achieve maximum image area is divid