资源列表
SAR-images-about-airport
- 这是一个关于飞机场的SAR图像数据，做SAR图像处理的可以下载使用-This is a SAR image data on the airfield, do SAR image processing can be downloaded using
findFatigueeye
- 用matlab检测视网膜眼底图像，达到自动识别视网膜病变-Detection of retinal fundus images using matlab to achieve automatic identification retinopathy
DSP-digital-Recognition
- 天津工业大学课程设计，内容包含vs2010对图像的灰度化，二值化，边缘检测。包含单纯c语言编写的对图像的灰度化，二值化，边缘检测的一个.C文件，可以直接用vc6.0运行，也可以直接在DSP上运行，还包含一份详细的设计报告。-Tianjin Polytechnic University curriculum design, content includes vs2010 grayscale image binarization, edge detection. Contains pure c la
OLDA
- 在LDA算法基础上优化的OLDA算法，用于特征提取、降维等-In LDA algorithm based on the optimization of OLDA algorithm for feature extraction, dimensionality reduction, etc.
Hausdorff
- 画两条折线，并求两条折线之间的Hausdorff距离-Computing the Hausdorff Distance Between two Broken lines
FFT
- 实现积分图功能，具体理论对应论文《基于快速傅里叶变换和积分图的快速相关匹配》-implementation of the integral image，the related theory of the program is in the paper of fast matching based on FFT and integral image
xml-to-mat
- 此代码应用于将xml文件转换为mat文件。在图像的目标识别时我们需要获得一些图像的点坐标。但是通过label me。我们只能获得xml文件的形式，这样我们就需要将xml文件转换为mat文件。方便在matlab的语言环境中进行处理-This code is used in the xml file into mat file. When the target image recognition we need at some point in image coordinates. But by l
max
- IDL编写的图像最大熵阈值分割算法，将图像进行二值化处理-Maximum entropy thresholding algorithm, the binary image processing
ostu
- IDL编写的图像二值化处理程序，采用最大类间方差算法-IDL prepared binary image processing, using Otsu algorithm
ASIFT
- 在matlab上的Asift程序，在原有基础上有所改进，程序可以出色地实现图像的识别，匹配，效果相比SIFT，SURF等有大幅提高-In matlab Asift program improvements based on the original, the program can achieve excellent image recognition, matching, compared to the effect of SIFT, SURF, etc. have greatly impro
SaliencyToolbox2.3
- 今年刚更新的最新的工具箱SaliencyToolbox2.3.zip，做图像处理视觉注意力机制相关研究必备的工具。-This year has just updated the latest toolbox SaliencyToolbox2.3.zip, do image processing of visual attention mechanisms related research is an essential tool.
fenkuaiqiuyvzhi
- 图像先按横坐标分块，然后再求出每块的阈值和平均灰度值-Firstly,image is segmented blocks,then,we seek threshold in sub-blocks and average gray values