搜索资源列表
speckle
- 用相关搜索法和曲面拟合算法计算图像的位移,精确到亚像素级。(The displacement of the image is calculated by correlation search method and surface fitting algorithm, which is accurate to sub-pixel level.)
meanshift
- 通过均值漂移算法的实现,获得彩色图像和灰度图像的超像素分割结果(Through the realization of mean shift algorithm, the super pixel segmentation results of color image and gray image are obtained)
LSB隐藏
- 实现bmp灰度图像的LSB隐藏,能够将指定的信息嵌入bmp位图的最低位,从而达到数字隐写的目的。另外可以通过相反的过程来读取bmp位图的每一像素的最低位,将信息提取还原出来(BMP gray image LSB hidden, can specify the information embedded in the BMP bitmap of the lowest bit, so as to achieve the purpose of digital steganography. In addi
superpixels
- 超像素的图像分割算法()
新建文件夹
- 一幅大小为256×256的256级灰度图像(每像素8bit) 如果图像的各个像素之间是统计独立的,求该图像的信息熵 -离散无记忆信源 如果图像的各个像素之间不是统计独立的,求该图像的信息熵 -图像像素的概率分布模型(A 256 gray scale image (8bit per pixel) with a size of 256 x 256 If each pixel of the image is statistically independent, the information
图像熵
- 图像熵在图像分割、图像识别领域应用广泛,如果考虑各像素之间统计独立,图像的一维熵可以表示图像灰度分布的聚集特征。(Image entropy is widely used in image segmentation and image recognition. If the statistical independence between pixels is considered, the one-dimensional entropy of the image can represent th
image
- 调用自定义函数解决题目: 1.读取自然图像、生成合成图像、高相关图像、高去相关图像,完成压缩 2.得到傅里叶变换后的图像 3.fft中心变换\walsh变换,进行两种变换的对比 4.得到傅里叶变换后的图像和傅里叶变换需要的时间,显示变换后的图像,显示傅里叶变换时间随图像像素的变化 5.显示不同阶数butterworth高通滤波和低通滤波滤波器的传递函数和处理后的图像 6.调用butterworthw.m,显示原图像、原图像频谱、低通滤波、高通滤波的传递函数,以及滤波器处理后的图像 7.拉普拉斯高
图像数字化
- 图像数字化包括图像的采样和量化等功能,实现图像的像素变化(The image digitalization includes the functions of sampling and quantizing the image to realize the pixel change of the image)
Tuxiang
- 各种图像像素点的处理,包括线性化处理,模板操作等等(Processing of pixel points of various images, including linearization, template operation, and so on)
SLICtest
- 采用超像素进行分割图像,自己设置分割的超像素个数,最后显示分割后的结果。用两个矩阵记录每个超像素块的所有点坐标。(The Superpixel is used to divide the image, and the number of the Superpixels is set by yourself. Finally, the segmentation results are displayed.)
图像坐标定位DigitizeXY
- 加入图片,不过图片像素不能太大,能够对图片产生坐标点(Can produce coordinates of the picture)
Algorithms
- 图像处理中的多种超像素分割算法,整理到一起供大家分享使用!(A variety of image processing in the superpixel segmentation algorithm, together for everyone to share with!)
burr
- 将二值化后的图像去除单像素噪音,方便对去除干扰后的图形进行轮廓提取(Removal of single pixel noise from two valued images)
MATLAB图像重建源码
- MATLAB实现脑核128*128像素图像重建源码,包括RADON变换(MATLAB realizes the source of brain nuclear 128*128 pixel image reconstruction, including RADON transform)
slic-master
- 实现图像超像素分割,速度非常快,每秒可以跑120文件(It runs at about 120 files per second on a single core of a 3GHz Intel I7 (it's CPU-bound, at least on a machine with an SSD). So you can do 100,000 files in less than 15 minutes. Parallel invocation is left as an exercis
109201252image-processing
- 关于MATLAB图像相关性分析的问题。随机选取1000对像素点,进行水平和垂直相关性分析。(image-correlation. select 1000 pair of pixel randomly and analyze the correlation both horizontally and vertically)
PIXEL
- 灰度变换是指根据某种目标条件按一定变换关系逐点改变源图像中每一个像素灰度值的方法。目的是为了改善画质,使图像的显示效果更加清晰。 图像的灰度变换处理是图像增强处理技术中的一种非常基础、直接的空间域图像处理方法,也是图像数字化软件和图像显示软件的一个重要组成部分。提取像素进行变化(Grayscale transformation is a method of changing the gray value of each pixel in a source image according to c
最大熵法简单图像分割
- 最大熵法简单图像分割,先进行阈值计算,在进行像素判断(Maximum entropy method for simple image segmentation)
彩色图像二值化
- 可将任意RGB彩色图像(像素不能过高),转化成二值图像(Any RGB color image can be converted to two value image.)
图像放大
- 通过一定的算法提高图片的像素密度,减小锯齿。(A certain algorithm is used to improve the pixel density of the picture and reduce the sawtooth.)