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关于图像融合的评价标准的MATLAB源代码
- 关于图像融合的评价标准的MATLAB源代码。,Image Fusion on the evaluation criteria of the MATLAB source code.
kxymc
- 对于存在块效应图像进行质量评价 matlab程序 比较适合初学者-For the existence of blocking matlab image quality evaluation procedures are more suitable for beginners
Image_Classify
- 遥感影像分类的matlab实现（源码+图像）。以及分类后评价（总体精度、Kappa系数、混淆矩阵）。-Remote Sensing Image Classification of matlab implementation (source code+ images). After the evaluation and classification (overall accuracy, Kappa coefficient, confusion matrix).
halftoningToolbox1_1
- 单色及彩色半色调图像处理，图像误差扩散处理实现及评价处理-Halftone monochrome and color image processing, image error diffusion processing and evaluation of processing
imagequality
- 自己编写的图像质量评价函数，包括方差、平均梯度、模糊熵、信息熵-I have written the image quality evaluation function, including the variance, with an average gradient, fuzzy entropy, information entropy
1218
- 比较各种图像融合算法的论文。Evaluation of various image fusion techniques and imaging scales for forest features interpretation-Image fusion algorithm to compare papers. Evaluation of various image fusiontechniques and imaging scales forforest features interpr
greyimagequalityassessment
- 灰度图像质量评价，以matlab为平台，介绍了几种关于灰度图像算法的质量，以数据结果来说明图像的质量。-Gray image quality evaluation, in order to matlab as a platform to introduce several gray image algorithm on the quality of data to illustrate the results of image quality.
imageevaluation
- 图像质量评价，熵、平均梯度、边缘强度、方差等-Image quality evaluation, entropy, average gradient, edge strength, variance, etc.
niuquduhexinxi
- 对图像融合结果扭曲度和信息的评价，直接反映融合图像的失真程度-The results of image fusion twist and evaluation of information, a direct reflection of the degree of integration of image distortion
IMageQualityEvaluatingFunction
- 两个图像质量评价函数，psnr峰值信噪比，正则均方误差nmse，能可用于去噪图像和压缩图像的质量评价，很有用啊。-Two image quality evaluation of the function. Including psnr PSNR, it is mean-square error nmse other. Images can be used for de-noising and compression of image quality evaluation.
imagesegmentation
- 一本系统介绍图像分割和评价的书，对学习图像分割的人来说，非常好用-Introduced a system of image segmentation and evaluation of books for learning image segmentation of people, very easy to use
zimushibie0504
- 实现字母识别啊，采用的是和模板中的图像异或求值的方法-To achieve recognition letters ah, and templates used in the XOR image evaluation method
hm
- 根据图像的绝对中心矩评价图像的清晰程度，同时读入多幅图像，并给出其清晰度曲线。-According to the image evaluation of the absolute central moment of clarity of images, multiple images at the same time read, and gives its definition curve.
tan
- 图像分割，具体算法参考一下论文 Zhi-Gang Tan， Xiao-Chen Heand Nelson H. C. Yung A Novel Merging Criterion Incorporating Boundary Smoothness and Region Homogeneity for Image Segmentation-Abstract A novel joint region merging criterion combining region ho
eccv06
- In this paper, a novel scale- and rotation-invariant interest point detector and descr iptor, coined SURF (Speeded Up Robust Features) is presented. It approximates or even outperforms previously proposed schemes with respect to repeatability, di
0houghtoedge
- 可以检测图像中圆和直线的信息，有利于初学者使用学习。-Edge detection has played an important role in the field of computer vision. A parametric edge detection method based on recursive mean-separate image decomposition is introduced. A method for automatic parameter selection
image.quality.evaluation.based.on.human.visual.pro
- 文章中有基于人眼视觉特性的图像质量评价具体步骤，是一种符合人眼主观视觉感受的新型质量评价方法。-Articles are based on human visual properties of image quality evaluation of concrete steps to meet the human eye is a subjective visual experience of the new quality evaluation method.
survey_for_image_segmentation
- 该文章总结了近几年来一些经典的图像分割算法，并对他们的效果进行了评测。 从中可以了解该领域动向，对调研工作有很大帮助。-The article summarizes recent years a number of classical image segmentation algorithm, and the evaluation of their effectiveness. From this we can understand the trends in the field of rese
Remote-sensing-image-
- Remote sensing image fusion algorithm in Matlab and Quality Evaluation
Satellite-Image-Fusion
- 卫星影像融合程序，内置比值融合、差值融合、HIS融合、PCI融合等融合方法，同时还包含影像融合评价功能-Satellite image fusion procedure, built-in ratio of fusion, the difference between integration, HIS integration, PCI fusion fusion, image fusion also includes the evaluation function