资源列表
Image-compression
- 1． 理解图像压缩的相关概念及图像压缩的主要原则和目的； 2． 掌握霍夫曼编码 3． 掌握几种常见的图像压缩编码方法 4． 利用 MATLAB 程序进行图像压缩-1. Understand the related concepts of image compression and image compression of the main principles and purposes 2. Grasp the Huffman coding 3. The control o
peakdet
- MATLAB开发环境下，用于检测向量中的峰值。-Detect peaks in a vector
vigilant-fiesta-master
- 图像修复实现图像场景的物体移除，能够有效保持图像的纹理特性和结构完整性-Image restoration to achieve the image of the scene removed, to effectively maintain the texture of the image characteristics and structural integrity
Morphological-image-processing
- 1. 膨胀的简单应用、使用 strel 函数、腐蚀的说明 2. 函数 imopen 和 imclose 的应用、使用 IPT 函数 bwhitmiss 3. 灰度图像形态学开运算和闭运算 4. 灰度图像形态学使用重构删除复杂图像的背景-1. The expansion of the simple application, use the strel function, corrosion 2. Imopen function and application, use the IP
Image-segmentation
- 1.掌握线检测 2.边缘检测 3.多种边缘检测器的比较 4.使用梯度的分水岭分割 5.控制标记符的分水岭分割-1. The master line detection 2. The edge detection 3. A variety of edge detector 4. Using the gradient of the watershed segmentation 5. Control marker watershed segmentation
pic_handler
- CSharp写的图片处理工具，可批量将某文件夹下图片进行压缩，格式修改，文件名修改等操作- CSharp写的图片处理工具，可批量将某文件夹下图片进行压缩，格式修改，文件名修改等操作 CSharp to write the image processing tools, can be a folder under the image of a folder compression, format changes, file name changes and other operati
CLAHE
- 用于图像增强的对比度受限的自适应直方图均衡化方法-Adaptive histogram equalization method of image enhancement contrast limited for
Histogram
- MATLAB 图像处理 图像增强 直方图均衡化 直方图规定化-MATLAB image processing image enhancement histogram equalization histogram specification
Grayscale-linear-transformation
- MATLAB图像处理 图像灰度级线性变换 图像增强-MATLAB image processing image grayscale image enhancement linear transformation
Direct-gray-scale-transformation
- matlab图像处理 直接灰度变换 显示灰度直方图-matlab image processing linear transformation grayscale display histogram
Median-filtering-AND-Sharpen-filter
- matlab图像处理 图像增强 中值滤波和均值滤波-matlab image processing median filtering and image enhancement mean filter
Area-average-method
- 采用matlab进行图像处理，对图像进行预处理，采用均值滤波进行图像增强-Using matlab image processing, image preprocessing, image enhancement using mean filtering