搜索资源列表
codesforimageprocessing
- 实现简单图像处理,包括256色转灰度图、Hough变换、Walsh变换、中值滤波、二值化变换、亮度增减、傅立叶变换、反色、取对数、取指数、图像平移、图像旋转、图像细化、图像缩放、图像镜像、均值滤波、对比度拉伸、拉普拉斯锐化(边缘检测)、方块编码、梯度锐化、灰度均衡、直方图均衡、离散余弦变换、维纳滤波处理、逆滤波处理、阈值变换、高斯平滑。-simple image processing, including color to grayscale 256, the Hough transform,
LibFORImage
- 用VC实现图像处理类库ImageLib及其应用实例,界面设计, 程序结构,工具条与状态条, 橡皮筋矩形选块或画图, 画曲线和写字, 选块的拖曳, 剪贴板操作,文件操作-with VC ImageLib image processing library and its application, interface design, program structure, with the tools of the state of the rubber-band rectangular block t
person1_256
- 超分辨率复原(分块处理) 将样本库中的高分辨率图象和低分辨率图象分别做分块处理,当新输入一幅低分辨率图象时,分成小块到样本库中寻找最匹配的高分辨率块,然后复原出高分辨率图象。-Superresolution recovery (block processing) for a sample of high-resolution images and low-resolution images respectively block , when the new importation of a
41241
- 图象处理中运动估计的一种全搜索块匹配法的实现程序!-image processing campaign estimated a full search block matching program to realize!
motionEstES
- 该代码是图像处理中块匹配的全搜索算法,是用来估计和计算运动矢量的。-The image processing code is the full search block matching algorithm is used to estimate and calculate the motion vector.
tuxiangyunsuan
- 图像运算Matlab代码 12.1 图像点的运算 12.1.1 线性点运算 12.1.2 非线性点运算 12.2 图像的算术运算 12.2.1 加法运算 12.2.2 减 法运算 12.2.3 乘法 运算 12.2.4 除法 运算 12.2.5 其它运算 12.3 图像的位逻辑运算 12.4 图像的几何运算 12.4.1 图像插值 12.4.2 图像缩放 12.4.3 图像旋转 12.4.4 图像剪切
matlab-code
- 对数字图像处理中的离散傅里叶变换(DFT),离散余弦变换(DCT)进行了详细的分析。其中DFT包括log视觉处理,中心点移动等。DCT包括分块处理,和保留较少系数,并比较结果。-Digital image processing of the discrete Fourier transform (DFT), discrete cosine transform (DCT) for a detailed analysis. DFT which include the log of visual pr
graphicexperiment
- 用MATLAB实现数字图像处理的块编码,数字化,锐化,灰度级变换,直方差均衡等等。-Using MATLAB realization of digital image processing block coding, digitization, sharpening, gray-scale transformation, and so straight variance balanced.
image_block
- 最常用的一个图像处理算法:各种图像格式经典分块算法-The most commonly used image processing algorithms, sub-block algorithm
imagewatermarking
- 图像分块的处理和matlab水印的提取,-Image sub-block processing and matlab watermark extraction,
GdalBrowser
- GDAL支持的Morton 编码金字塔无缝漫游工具,从2007年开始,不断更新到2011年,偶的小业余研究。底层基于GDAL, 支持很多冷门格式。使用Morton金字塔重构二维数据,加上内存映射文件的帮助,浏览GB级影像没有问题。内嵌带接缝处理的透明分块条带处理接口,无需了解金字塔,也能透明对GB级影像进行各种处理。内嵌直方图均衡和模板卷积的例子,演示如何透明的开发处理算法。附带重要的功能是“尺度不变特征SIFT”的特征提取,本来是上学时的论文,经过这些年零敲碎打的改造,现在能进行全自动、半自动
Histogram-Equalization
- 图形图像处理 使用部分子块重叠直方图均衡化的对比度增强方法-Image Processing An Advanced Contrast Enhancement Using Partially Overlapped Sub-Block Histogram Equalization
omp
- 用小波变换作为稀疏基,采取OMP算法将图像重建恢复,由于算法计算量大会导致成像时间过长,程序用改进的分块处理缩短了时间,-Wavelet transform as a sparse base, take OMP algorithms to restore the image reconstruction algorithm to calculate the General Assembly led to the long imaging time, the program using a mod
Untitled4
- 彩色图像灰度化,然后进行分块处理,以方便后续处理-Color image grayscale, and then proceed to the sub-block processing, in order to facilitate subsequent processing
Code-for-block-processing
- block processing of images
Pic2Pic
- 根据分块处理思想对影像进行处理,以去除因相机拼接问题而产生的裂缝-According to the idea of sub-block processing on an image to remove cracks due to camera stitching
block
- matlab图像处理下的特定图像的识别与距离的测量-matlab image processing of the specific image recognition and distance measurement
gdal-image-read-and-write-
- 基于GDAL库进行图像读写以及分块处理,有详细注解适合初学者参考!-GDAL library for image reading and writing as well as sub-block processing, a detailed explanation reference for beginners!
图像分块
- 实现简单图像的分块处理,可以对大图像或者目标复杂图像分成小块单独处理(To achieve simple image of the block processing, you can large images or targets complex images into small pieces, separate processing)
block
- 对测试集图像增加随机的正方形遮挡,以测试算法错误率(add random block to images in order to test the accuracy of the algorithm)