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MRIBrainScan
- This case study shows how MATLAB can be used for a medical imaging problem. Given an MRI scan, first segment the brain mass from the rest of the head, then determine the brain volume. Also compare portions of gray and white matter present. This examp
dcc2000_jpeg2000_note
- jpeg2000的介绍性资料，可以参考对比一下和jpeg标准的不同之处。-jpeg2000 introductory information, you can refer to and compare the difference between the standard jpeg.
tp
- 形同图片比较，可以比较出两张图片是否相同-Tantamount to compare pictures
GraphShower-two-pictures
- 图片浏览器，可同时浏览两张图片，把两张图片放在一起，便于对比-Image viewer, can view two pictures simultaneously, the two pictures together, and so easy to compare
yuputu
- matlab编程，画出一段语音的语谱图，在不同时间声音的不同频率，可以比较出有声段和无声段的能量不同。-Matlab programming, draw the spectrogram of a voice, the sound of different frequencies in different time, you can compare audio segment and the energy of the silent segment.
bmpexmp
- open photos,It can be used to compare with golden photos
keshe
- 利用matlab的GUI程序设计一个简单实用的图像处理程序。该程序应具备图像处理的常用功能，以满足用户的使用。现设计程序有以下基本功能： 1）图像的读取和保存。 2）设计图形用户界面，让用户能够对图像进行任意的亮度和对比度变化调整，显示和对比变换前后的图像。 3）设计图形用户界面，让用户能够用鼠标选取图像感兴趣区域，显示和保存该选择区域。 4）编写程序通过最近邻插值和双线性插值等算法将用户所选取的图像区域进行放大和缩小整数倍的操作，并保存，比较几种插值的效果。 5）图像直方图
Matlab--LEACH
- 迭代学习控制算法的M文件-An Improved LEACH MAtlab achieve with conventional compare
K-nearest-neighbor-averaging
- matlab 分别利用邻域平均和K点平均对椒盐噪声图像，高斯噪声图像，乘性噪声图像进行处理，比较两者的差别-matlab use neighborhood were average and K-point average for salt and pepper noise image, Gaussian noise images, image processing multiplicative noise, compare the difference between the two
bianyuan_lvbo_matlab
- 编写程序完成不同滤波器的图像频域降噪和边缘增强的算法并进行比较，得出结论,效果很好，多种方法工你选择，文档中包含图片- Image Frequency noise reduction and edge enhancement algorithms to program completion and compare different filters, concluded that the effect is very good, work a variety of methods to ch
creationrweadth
- 比较LMS,RLS, 和Kalman滤波器多用户检测器的性能 不错的-Compare LMS, RLS, and Kalman filter multiuser detector performance is quite good
43936135
- This in the AR model power spectrum estimate, compare the classic spectrum estimation has obvious advantages, is a kind of new estimates,-This is in the AR model power spectrum estimate, compare the classic spectrum estimation has obvious advantages,