duibiduzengq

手持式摄像机在使用时常常会受到使用者有意无意抖动的影响,从而影响成像效果，造成录制视频的不稳定及跳动问题，尤其是在使用者在一场景中特写或者跟踪某一具体目标时，使用者通常不能准确定位到或者估计出运动目标的位置，从而造成目标在视频中位置的不稳定，造成视频的主观效果变得不理想。 为了解决这一问题，我们需要设计一种算法来识别这种无意义的运动并设法通过补偿的方式来使得场景中的目标物体保持位置稳定的状态。 手持式摄像机捕获的视频通常都会受到抖动的影响，这严重的影响视频的主观效果。 这里提出的算法可以可靠的用于数字视频的去抖动。这个算法通过识别这些意外的抖动并且利用运动补偿的方法来获得一个较好的视频输出。 这个系统可以分为三个模块：（1）运动估计模块；（2）抖动识别模块；（3）运动补偿模块。 注：代码在matlab 7.7.0(R2008b)运行通过 [1] F Vella, A Castorina, M Mancuso. Digital image stabilization by adaptive block motion vectors filtering, IEEE Transactions on Consumer Electronics, 2002(Handheld cameras are often used by the user intentionally or unintentionally, the influence of jitter affect the imaging results, resulting in instability and beat the problem of recording video, and especially in the user in a scene close-up or tracking a specific target,users often can not accurately navigate to estimate the location of the moving target, resulting in the subjective effects of target location of the instability in the video, resulting in video not ideal. In order to solve this problem, we need to design an algorithm to identify such a meaningless exercise and try to make the object in the scene to keep the position stable state by way of compensation. The handheld camera captured video usually subject to the influence of jitter, the subjective effect of which seriously affect the video. The algorithm proposed here can be reliably used for digital video to jitter. This algorithm by identifying the jitter of these accidents and the use of motion compensation m)

实现非均匀傅里叶变换代码，可用于石油地震勘探、航空航天、图像处理，电子电工方向。(Achieve non-uniform Fourier Transform code, can be used for seismic exploration, aerospace, image processing, electronics and electric direction.)

双边滤波，在平滑噪声图像的同时又可保留图像的边缘信息(Bilateral filtering, the noise in the image while smoothing the image edge information can be retained)

说明：  用canny算子来检测图像边缘，VC++(Using canny operator to detect image edge)

compute the root-mean-square error

说明：  LCD彩色图片转换工具BMP_to_H,可以进行24位色的BMP图片转换(LCD color image conversion tools BMP_to_H)

本算法将进行人脸识别，首先进行人脸定位检测，然后根据数据库里给的标签进行人脸识别，将人脸的信息显示在人脸旁边。本算法能取得较好的效果。(The algorithm will perform face recognition, first face detection, and then according to the database to the label for face recognition, the face of the information displayed next to the face. The algorithm can achieve better results.)

SCPI语言及微机控制测量仪器编程,主要介绍scpi一些具体命令，说明及其实现。(SCPI language programming and computer controlled measuring instruments)

计算机视觉与应用，详细介绍图像，计算机视觉理论(application of computer vision, detailed image, computer vision theory)

本程序实现了基于m-PCNN的医学图像融合算法，即多通道PCNN图像融合。(use for fusion)