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- 数字图像处理是指将图像信号转换成数字格式并利用计算机对其进行处理的过程。图像增强是数字图像处理的过程中经常采用的一种方法，它对提高图像质量起着重要的作用。本文先对图像增强的原理进行概述，然后对图像增强的方法分类并给出直方图增强、对比度增强、平滑和锐化等几种常用的增强方法的理论基础，通过Matlab实验得出的实际处理效果来对比各种算法的优缺点，讨论不同的增强算法的技术要点，并对其图像增强方法进行性能评价。-Digital image processing means converts the im
test
- 針對來源影像進行convex hull 和 dilation+erosion ，比較擷取後的影像輪廓-Convex hull for the source images and dilation+erosion, compare silhouette image after capture
xiaobolvbo
- 利用小波用不同的方法进行图像滤波处理，然后对比各种方法的优劣-Different wavelet filtering method for image processing, and then compare the advantages and disadvantages of various methods
psd-to-html-sample-1
- This rar file contains an main image file, and the source code files which contains ( .html., .css and image) files. the main image file which is PNG image of a PSD is converted to html,css. It is a good project to start your career as a front end
histCompare
- 提取两图片的直方图，并进行比较，可用于匹配-exact the hists of pictures and compare the relation , can be used for image matching
noise
- 在一幅原始图像上填加不同种类噪声，包括椒盐噪声，高斯噪声，白噪声等，并比较异同。-In an original image fill plus different types of noise, including salt and pepper noise, Gaussian noise, white noise, etc., and compare the similarities and differences.
sk
- 对一幅灰度图，绘制其灰度直方图并自定义均衡化直方图函数，绘制出其均衡化后的灰度直方图并做比较-On a grayscale image and draw its histogram and histogram equalization custom function, mapping out its post-histogram equalization and compare
yuv_cmp
- 比较两幅YUV图像Y分量的相似度，时间精确到毫秒-Compare two Y component YUV image similarity, the time to the millisecond
DIBerteAPI
- 3.2: Histogram equalization: Show the histogram and the image after the Histogram equalization, then compare the original map and the map processed
bandelet_yasuo
- 基于Bandelet变换的图像压缩，包括基于SPIHT、霍夫曼等压缩编码解码，比较无损有损压缩。-Bandelet transform based image compression, including those based on SPIHT, Huffman compression codecs such as compare lossless lossy compression.
tuxiangfuyuan
- 图像复原技术，比较最小二值法与维纳法，得到很好效果。-Image restoration techniques to compare the minimum value method with two Wiener method to obtain good results.
denoisingWavelet
- Wavelet denoising For using this code need to use signal toolbox and general toolbox in your matlab In the first part of this assignment, we asked to obtain a (black-and-white) digital image of size 512 by 512 and then generate noi
kmeans_report
- 数据挖掘kmeans图像聚类实验,用 VC 或 Java 实现 k-means 聚类算法， 分别以迭代次数及分配不再发生变化为算法终止条件，用图片（自己选择）作为数据集，比较运行时间（画出时间与像素点的关系曲线图，因此须用多幅像素个数不同的图片进行实验） 提交实验报告与源代码-Data mining kmeans image clustering experiments, using VC or Java implementation of k-means clustering algorith
ImageComparerUI
- 图像灰度等级比较 图像灰度等级比较 图像灰度等级比较-image grey compare
sharpen
- 图像锐化。打开一幅图像，利用Roberts梯度法、Sobel算子和拉普拉斯算子进行锐化，并比较结果。-Image sharpening. Open an image using the gradient method Roberts, Sobel operator and Laplacian sharpening, and compare the results.
MATLAB
- matlab开发环境，．编程实现二维DFT的变换，并与标准函数结果fft2进行比较，基本傅里叶、离散余弦变换，空域（完成两个程序） 增强噪声后再进行处理，利用标准函数，求图像阈值分割、边缘检测的基本使用（lena256.bmp，方法：graythresh、edge），求分水岭，利用标准函数dwt2、idwt2分解图像man_pic.jpg，基本 BP-BPbase1 -matlab development environment. Programming dimensional DFT
yvzhiqiuqu
- 求出每块图像的阈值和平均灰度值，然后把他们进行比较，求出整幅图像的阈值-It seek threshold in sub-blocks and then compare each sub-block’s threshold value with average gray value to find the best threshold in the whole image.
kmeans_report
- 数据挖掘kmeans图像聚类实验,用 VC实现 k-means 聚类算法， 分别以迭代次数及分配不再发生变化为算法终止条件，用图片（自己选择）作为数据集，比较运行时间（画出时间与像素点的关系曲线图，因此须用多幅像素个数不同的图片进行实验）,提交实验报告与源代码-Kmeans image clustering data mining experiments with VC k-means clustering algorithm, respectively, the number of itera
compare_new
- compare between image using matlab
pipeijishu[1]
- 匹配特征、相似性程度以及匹配策略是图像匹配的三个技术难点。文章深入讨论了这三个方面所涉及的各种方法并评估和比较了他们的优缺点，指出了存在的问题。-Matching features, as well as the degree of similarity matching strategy is three image matching technical difficulties. Depth article discusses the various methods involved in