HDevelop

利用surf1函数绘制函数图形的三维光照图形，其中图形函数表达式为peaks(Use surf1 function to draw three-dimensional graphics of functional graphics, in which the graphical function expression is peaks)

图像的平滑函数，对指定区域的图像，并有门限值和魔板大小限制。(the smooth of a bmp image)

一段matlab试验程序，可以学习FFT+降噪的功能，适合初学者。(Test a matlab program, you can learn FFT+ noise reduction features, suitable for beginners.)

本人自己编写的一个图像预测编码（DPCM）的简单程序。(I own an image prepared by the Predictive Coding (DPCM) the simple procedure.)

简单的huffman编解码例子，对于初学者会有很大的帮助。(Simple huffman codec examples, for beginners, there will be a great help.)

通过maketform和cp2form指令将倾斜图形通过放射变换和投影变换纠正过来(By maketform and cp2tform instructions diagonal pattern by affine transformation and projection transformation corrected)

高速机动目标检测跟踪的程序，好不容易写的，请珍惜(High-speed target detection)

将2D图像转换为红蓝3D效果。程序由本人编写，算法来自论文《A novel 2D-to-3D conversion technique based on relative height depth cue》by Yong Ju Jung等。(2D-to-3D Conversion. The codes are written by myself and according to the article "A novel 2D-to-3D conversion technique based on relative height depth cue" by Yong Ju Jung.)

医学图像配准，医学图像2D_3D配准，基于vc++开发。(The registration of pre-operative volumetric datasets to intra-operative two-dimensional images provides an im- provedway of verifying patient positionandmedical instru- ment location. In applications from orthopedics to neuro- surgery, it has a great value in maintaining up-to-date in- formation about changes due to intervention. We propose a mutual information-based registration algorithm which es- tablishes the proper alignment via a stochastic gradient as- centstrategy. Ourmaincontributionliesinestimatingprob- ability density measures of image intensities with a sparse histogrammingmethodwhichcouldlead to potentialspeed- up over existing registration procedures and deriving the gradient estimates required by the maximization procedure. Experimental results are presented on fluoroscopy and CT datasets of a real skull, and on a CT-derived dataset of a real skull, a plastic skull and a plastic lumbar spine seg- ment.)

一般自然图像的梯度分布符合重尾分布，重尾分布也就是超拉普拉斯分布，根据这个特点进行图像复原。(The gradient of a natural image in line with heavy-tailed distribution, which is ultra-heavy-tailed distribution Laplace distribution, image restoration based on this feature.)