搜索资源列表
ImgViewer1107
- 简单图像算法。支持读取多种图片格式，支持灰度图计算，多种二值化算法（基于熵的自动阀值，自动双阀值二值化），支持图像多种卷积计算（高斯滤波，轮廓提取）-simple algorithm. Photo support multiple read format, the gray level support, a variety of binary algorithm (based on the entropy of the automatic threshold. automatic dual th
DistanceTransform(VC)
- 距离变换算法距很好的将二值图像变换为灰度图,为后续用分水岭算法做准备。并且附上详细的代码说明和例子。-distance from the algorithm will be two very good value for the image transform the gray level for the follow-up watershed algorithm used to prepare. And attached a detailed descr iption and code exa
DistanceTransform(vc++)
- 距离变换算法距另一种算法，很好的将二值图像变换为灰度图,为后续用分水岭算法做准备。-distance algorithm from another algorithm will be two very good value for the image transform the gray level for the follow-up watershed algorithm used to prepare.
otsu
- OTSU Gray-level image segmentation using Otsu s method. Iseg = OTSU(I,n) computes a segmented image (Iseg) containing n classes by means of Otsu s n-thresholding method (Otsu N, A Threshold Selection Method from Gray-Level Histograms, IEEE
grayValueDistributionCompare
- By compare the gray value distribution to find the optimized scale value to downsample the images.
matlab
- 算差分盒维数的matlab程序。 让窗口中的每个像素都对分数维作出贡献。首先,计算某一尺度窗口的平均灰度值 ,然后判断每一个像素的灰度 ,若大于灰度平均值 ,则累加其灰度值为 max ,若小于灰度平均值 ,则累加其灰度值为min ,用max 和min代替 在 Sarkar 和 Chaudhuri 算法中的最大值和最小值 ,再通过拟合求出分数维。 -Differential count box dimension matlab program. Let window on the fractal
erwei
- 二维灰度直方图的描述，两个轴分别为灰度值和领域灰度值-Descr iption of two-dimensional histogram, the two axes were gray value gray level and area
ImageRetrievalAlgorithm
- 文是一种基于灰度共生矩阵的图像相似性检索算法，首先将图像分成互不重叠的子图像块，根据子图像 块中像素间灰度差别重新设置每个像素的灰度值为0或l，然后将整个图像重新划分成子块，对子块编码，最后借 助共生矩阵提取的不同方向的特征值来检索图像的相似性。实验结果表明本文算法对图像相似性的检索比传统 方法GLCM、CCM更有效，且检索效率较高，更重要的是此算法还可以反应不同方向上图像的相似度。-Man is an image based on gray level co-occurrence
Sobel
- This a "Sobel edge detector" code. In this code, I count a value at the pixel with the Sobel Mask, and then normailize value to be a bitmap with Gray level.-This is a "Sobel edge detector" code. In this code, I count a value at the pixel with the Sob
001
- 对子图像进行局部直方图计算，由最大方差比例阈 值确定方法计算出子图像的最佳阈值。根据局部直方图中波峰数决定是否增强子图像中被最佳 阈值划分出的低灰度区域和高灰度区的对比度。然后对已经选择性对比增强的图像进行边缘检 测。实验证明图像的区域层次更清楚，提取的边缘细节也更丰富。自适应算法则最大限度地突 出了边缘而同时保持了图像中相近灰度级的平滑性和连续性。-Image pairs local histogram calculation by the maximum variance r
intrans
- 该函数可将输入值低于m的灰度级压缩为输出图像中较暗灰度级的较窄范围内，可将输入值高于m的灰度级压缩为输出图像中较亮灰度级的较窄范围内，输出的是一副具有较高对比度的图像。-This function can be lower than the input value for compressed grayscale m output image is dark gray level of a narrow range, but will the input value is higher than
asdf
- 彩色图像的二值化。灰度变换，二值化 VC6.0-Color images of the two values. Gray level transformation, the value of the two
Gray-level-transformation
- 数字图像的分段线性灰度变换的方法，其中假定a=30,b=180,c=120,d=230,e=255 且假定图像的最大灰度值为Mf-Digital image of the piecewise linear gray level transformation method, which assumes that the a = 30, B = 180, C = 120, d = 230, e = 255 and it is assumed that the maximum gray value
image-processing
- 1.设计一个程序，对一幅灰度图像的实现如下几何变换,1)放大为原图1.5倍 2)绕中心旋转30度(CW) 3)采用偏移量插值实现一个透视变换. 灰度差值用最近邻插值和双线性插值 2. 绘制一幅灰度图像的梯度幅度图像（三点法求梯度），针对梯度幅度图像合理的选择一个阈值（通过试验即可）将其二值化，以获得图像边缘检测图像。-(1) design a program, a grayscale image as geometric transformation, zoom 1) for 1.5 tim
fjy
- 投影法的源程序，第二个参数是个BOOL变量，为真时表示在水平方向上做投影，否则在垂直方向上做投影。要注意的是，我们针对的虽然是二值图，但为了处理的方便，用的是256级灰度图，不过只用到了0和255两种灰度级。-Projection of the source, the second parameter is a BOOL variable to true, in the horizontal direction on the projection, or in a vertical direct
111
- 差影法的源程序。要注意的是，第一幅图的文件名为c:\test.bmp，第二幅图的文件名是c:\backgnd.bmp。它们有着相同的灰度值和调色板。执行时，这两个文件都已经准备好。我们针对的虽然是二值图，但为了处理的方便，用的是256级灰度图，不过只用到了0和255两种灰度级。-Subtraction of the source program. Note that, the first picture file named C : \ test.bmp, second picture file
dibapi
- 腐蚀运算和膨胀运算互为对偶的，用公式表示为(X B)c=(Xc B)，即X 被B腐蚀后的补集等于X的补集被B膨胀。这句话可以形象的理解为：河岸的补集为河面，河岸的腐蚀等价于河面的膨胀。你可以自己举个例子来验证一下这个关系。在有些情况下，这个对偶关系是非常有用的。例如：某个图象处理系统用硬件实现了腐蚀运算，那么不必再另搞一套膨胀的硬件，直接利用该对偶就可以实现了。-Subtraction of the source program. Note that, the first picture fil
ImageTest1_1
- 产生亮块图像f1(x, y)（128×128，暗处灰度值为0，亮处灰度值为255），对其进行离散傅里叶变换，同屏显示原图像及其频谱图。-To produce bright block images f1 (x, y) (128128, dark gray level value of 0, and light at the gray scale value of 255), its discrete Fourier transform, with the screen display of th
thresholding
- 画出图像灰度值分布图像，然后对图像进行增强型处理，即把与特定灰度值差值大于某个特定阈值的点灰度值全部变为0，把图像凸显出来-Draw the image gray value distribution image, then the image enhancement process, that is specific to a particular gray value difference is greater than the threshold gray level value of a
1
- To create a GLCM, use the graycomatrix function. The graycomatrix function creates a gray-level co-occurrence matrix (GLCM) by calculating how often a pixel with the intensity (gray-level) value i occurs in a specific spatial relationship to a pixel