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diantezhengtiqusuanfayanjiu
- 影像特征提取是影像匹配和三维信息提取的基础,是影像分析与单像处理技术领域中最重要的任务之一。有效的特 征提取算法是影像分析与处理的关键。从点特征定义出发,叙述了两种常用的点特征提取算子———Moravec算子和Forstner 算子的原理,利用Moravec算子和Forstner算子可以实现影像点特征的提取,并从提取点特征的准确度、提取速度对两种算子 进行比较,最后得出了有益的结论。-Image feature extraction and image matching are th
ActivityRecognition
- Activity recognition program using Motion History Image s 7 Hu moments. The program compare the Mahalanobis distance of the Hu moments of the video input with the reference and find out the activities.
jisuanjituxiangchuli
- 本论文主要介绍图像处理系统软件的算法分析、代码实现。以及实现软件开发的程序开发工具Delphi的简单介绍。软件开发的目的是实现对图像的锐化、扭曲、波浪平滑处理等效果。文章的主要内容为该软件的算法分析过程、代码编写、界面设计和系统实现过程。本论文特别对图象的锐化、图象的扭曲和图象的平滑处理算法进行了系统的分析和比较，如锐化功能的差分法与边缘提取算法的分析、比较，平滑功能的平滑滤波法、中值滤波法、自适应滤波法等算法的分析、比较。然后对确定的这几个功能算法的实现编写了Delphi的算法代码，其中心代码
Project
- it is a image processing project which can find special and certain object with certain shapes in the images. it obtain the P and S for each object and compare P/S ratio to template image and object. Sobel use for P and finding edges and Labeling a
bmp-compare
- 快速简单和跨平台的BMP图相比较工具，以EasyBMP库为基础 -Fast, Simple, and Cross-Platform BMP Image File Comparison Tools written on top of the EasyBMP library.
jpeg_encode+decoderhojoon
- This a JPEG encoding & decoding program of still image. It does not use level shifting. Discrete Cosine transform (DCT) is performed both by classical & Chen s Flowgraph methods. Predefined JPEG quantization array & zigzag order are used here. RUN -
compared
- 对比BP，OMP，StOMP对自然图像的重构效果,输入图像是一幅256*256的lena图像，我们使用压缩采样后，再用上述三种方法对其进行重构，比较其结果，其中StOMP方法是用不同的阈值-Contrast to BP, OMP, StOMP effect on the reconstruction of natural images, input image is a 256* 256 lena image, we use the compressed sampled, and then re
Question2
- Images passed to your application are not always of the same size as your templates. To compare them you might need to up scale or down scale them to the template size. It is preferred that when comparing you check the size of the template to b
1
- 将一幅256*256的图像分成8*8的小块，对其进行DFT变换。分别比较在空间域和频域内对源图像进行二次抽样和差值最后比较不同-1. Get a grey level image which size is N*N. (For example, 256*256, however, N = ), and partition to 8*8 sub images. 2. Apply DFT to these sub images, and get the fourier transfor
DelphiImageRecognition
- 本程序将传递进来的电表图像进行对比，用来识别电表图像中的数字。-The programe is designed to compare the meter image to the preseved image, which is used to recognize the number in the image.
yaogantuxiangronghe
- 通过使用IHS变换以及加权方法实现图像的融合 并相应比较各种方法下图像的效果-Through the use of IHS transform and the weighted method of image fusion and appropriate under the various methods compare the effect of image
2007931622727
- 这个源代码是应一位网友要求发布的.主要功能是演示利用VB进行分析比较两张不同图片之间的差别,如BMP,JPG等，根据像素分析各个图片的不同。支持任意尺寸的图片，但是全屏图片可能会比较慢。好像根据图片屏蔽色来进行比较，本人对这个不是很有研究，希望懂行的给发表一下看法。 -The source code is released in response to a users requirements. Main function is to demonstrate the use of VB to
Compare
- 数字图像处理算法，邻域平均和中值滤波的比较，VC/MFC实现。-Digital image processing algorithms, neighborhood average and median filtering comparison, VC/MFC implementation.
compare
- compare with 2 image
no_edges
- this code clasify the image after segmeantation and psnr and hitogram compare the output image .with gui made by pandey -this code clasify the image after segmeantation and psnr and hitogram compare the output image .with gui made by pandey ........
imhist
- 计算并绘制图像的直方图，本设计中绘制了四种形式的直方图，imhist,bar,stem,plot进行比较和区别！-Calculated and plotted the histogram of the image, the design of four forms of the histograms drawn, imhist, bar, stem, plot and compare the difference!
asgmt2
- For a 24-bit color image (Lena.bmp), statistics all used colors in this image, design the median-cut algorithm to generate a lookup table. And convert the 24-color image to 8-bit index image, compare the difference between them.
ImageCompare
- 基于.NET的人脸图形比对，通过上传两张bmp格式的图片，可以检测两张是否一致。-Image Compare
image-seg
- matlab 黑白图像的分割 图像边际增长的描述 & Compare the seed with its 8-connected neighbours. -hand Made Background
medianfilt
- Its median filter/ MATLAB function for implementing median filtering of an image. Add salt and pepper noise to it. Apply the median filtering to the resulting image. Compare the results.