Description: 其实颜色直方图简单来说，就是统计图像中具有某一特定颜色的象素点数目而形成的各颜色的直方图表示，不同的直方图代表不同图片的特征-color histogram simple fact, it is statistical image with a specific color of the pixel number of points which are in the color histogram, different pictures representing different histogram feature Platform: |
Size: 66560 |
Author:例文 |
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Description: 所谓直方图就是在某一灰度级的象素个数占整幅图像的象素比 h=nj/N,其中nj是灰度级在j的象素数，N是总象素数，扫描整幅图像得出的h的离散序列就是图像的直方图，h求和必然＝1，所以直方图可以看成是象素对于灰度的概率分布函数。-Histogram is the so-called gray level in a given number of pixels representing the entire image pixel than h = nj/N, which nj is the gray level of pixels in the j number, N is the total number of pixels, scanning the whole lot images derived from the discrete sequence h is the image histogram, h summation is bound = 1, so the histogram can be viewed as the probability of pixel gray-scale for the distribution function. Platform: |
Size: 1024 |
Author:范灯辉 |
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Description: 函数功能，对图像进行直方图均衡
直接读图像Img10_1.bmp，读到tu中
graydis是原始直方图各灰度级像素个数
原始直方图graydispro，利用原始直方图计算原始累计直方图graydispro
t[]计算和原始灰度对应的新的灰度t[]，建立映射关系，t坐标代表原始的灰度，t[]代表对应原始坐标的新坐标
new_graydis是统计新直方图各灰度级像素个数
计算新的灰度直方图new_graydispro,利用新的直方图计算新的累计直方图new_graydispro
计算直方图均衡后的新图new_tu-Function of images directly read the image histogram equalization Img10_1.bmp, read tu in graydis is the original pixel gray level histogram of the number of original histogram graydispro, using the original histogram calculation of the cumulative histogram of the original graydisprot [] calculated and the original gray-scale corresponds to the new gray t [], the establishment of mapping relations, t coordinates of the representative of the original gray-scale, t [] on behalf of the original coordinates of the corresponding new coordinates new new_graydis statistical gray level histogram of the pixel number calculation new histogram new_graydispro, using the new calculation of the new cumulative histogram histogram histogram equalization calculation new_graydispro new plan after new_tu Platform: |
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Author:gua |
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Description: matlab实现商标文字分割~第一部分计算列梯度差，计算每个像素的列方向一定范围内（n）最大值和最小值的差距,统计该差值超过某一设定域值T的像素的个数，并将该统计个数存在 GY 向量。，第二部分计算行梯度差，计算每个像素的行方向一定范围内（n）最大值和最小值的差距，统计该差值超过某一设定域值T的像素的个数，并存在 GX 向量-matlab text segmentation ~ realize trademarks calculations are shown in the first part of the gradient difference, calculated for each pixel column direction of a certain range (n) the difference between maximum and minimum values, statistics of the difference exceeds a certain threshold T set of pixels of a few, and the statistics of the number of vectors exist GY. , The second part of the calculation line gradient difference, calculated for each pixel within a certain range direction (n) the difference between maximum and minimum values, statistics of the difference exceeds a certain threshold T set the number of pixels, and the existence of GX Vector Platform: |
Size: 1024 |
Author:eels |
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Description: 1、编制程序显示印章图像（24位真彩色位图）；
2、读出位图中每一像素点的（R，G，B）样本值；
3、以RGB其中某两个（或三个）为坐标，取一定数量的图像点为分析样本，分析其坐标系中的分布；
4、采用本章学习的方法找到分类判别函数，对这些样本进行分类；（要求首先将印章与底纹区分，如有可能将印章、底纹、签字区分）
5、将分类后的结果标记到原始图像上，检查其效果。
-1, the preparation procedures showed that the seal image (24-bit true color bitmap) 2, read out each bitmap pixel (R, G, B) sample value 3 to RGB which a two (or three ) for the coordinates, take a certain number of image points for the analysis of samples, analysis of its coordinate system of distribution 4, the method used in this chapter to learn to find discriminant function classification of these samples for classification (required first to distinguish between the seal and Shading, if possible, will seal, Shading, signatures to distinguish between) 5, will be the result of classification markings to the original image to check its effectiveness. Platform: |
Size: 372736 |
Author:苏朗 |
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Description: 超分辨率图像处理从几幅图象中提取像素合成新的比较清晰的图像-Super-resolution image processing to extract images from a number of new synthetic pixel images clearer Platform: |
Size: 116736 |
Author:tlh |
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Description: 基于图像直方图均衡化的公式来编程。像素一共分为256个灰度阶，每个灰度阶用数组的一个相应nk[？]来储存它的个数，然后计算tk[？]。-Based on image histogram equalization formula programming. Pixel is divided into a total of 256 gray-scale bands, each of the gray band with a corresponding array nk [? ] To store the number of it, and then calculating tk [? ]. Platform: |
Size: 1024 |
Author:钱顺利 |
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Search - number of pixel dark