The-level-set-C-V-model

主要介绍关于图像匹配的相应matlab程序设计(Focuses on the appropriate image matching matlab program )

用奇异值分解的方法实现图像的去噪，并且与其他的方法进行比较，较之其他的方法有了明显的提升(To eliminate the noise from signals and compared to others mothods，an depressing effect is gotten)

说明：  这是一个图像处理程序集，几乎实现了所有图像处理的基本方法，非常适合初学者(This is a set of image processing procedures, almost all the basic methods of image processing, very suitable for beginners)

一种新的目标跟踪算法。将压缩感知引入到序列图像目标跟踪中，可以实现目标的稳定快速跟踪。(A new target tracking algorithm. The compressed sensing is introduced into the sequence of image target tracking, stabilization target can be achieved fast track.)

自己写的用开闭眼模板法判断一个眼睛的开闭状态，前提是需要去定位眼睛(Wrote it myself with open eyes closed, a template method to determine the state of opening and closing the eyes, the premise is the need to positioning the eyes)

基于相似度的图像质量评价算法Structural SIMilarity (SSIM) index的实现。(This is an implementation of the algorithm for calculating the Structural SIMilarity (SSIM) index between two images. Please refer to the following paper: Z. Wang, A. C. Bovik, H. R. Sheikh, and E. P. Simoncelli, "Image quality assessment: From error visibility to structural similarity" IEEE Transactios on Image Processing, vol. 13, no. 4, pp.600-612, )

强大的小波包分析程序，将信号分频分析，在感兴趣的频率域内抽取信号信息。(Powerful wavelet packet analysis procedures, the signal of frequency analysis, frequency domain of interest extracted signal information.)

说明：  检测火灾，本课题为基于matlab的火灾检测识别，烟雾报警，火焰检测，通过几何参数判别，即面积增长率，角度等。完美运行。(Detection of fire, this topic is based on the MATLAB fire detection and recognition, smoke alarm, flame detection, through the geometric parameters, that is, area growth rate, angle and so on. Perfect operation.)

说明：  ：在深海采矿环境中超声波传输介质里存在着大量气泡、扰动沉积物、机械噪声等背景噪声与混响，导致有用信号与高 噪声信号迭加在一起，严重影响了测距精度。采用小波分析方法将超声回波信号进行3层小波分解，适当设置门限阈值对小波 系数进行处理，然后对信号进行重构，有效地抑制了信号中噪声对测量精度的影响。研究结果表明：小波方法有很好的降低回 波信号中噪声的效果，其测距精度高于自适应滤波去噪后的测距精度。(There are much background and mixture noise in the course of ultrasonic wave transmission under deep sea mining environment，such as air bubbles and disturbed sediment and mechanical noise．Because of these factors， the useful signals and the high noise signals are combined together，which seriously affects the distance measurement precision．Ultrasonic echo signals are decomposed into three layer wavelets，and a threshold is set to process the wavelet coeficients．Then the signals are reconstructed．Accordingly the influence of environment noise on distance measurement precision is effectively restrained．Research resuhs indicate that wavelet transform method is very useful for noise reduction in signals．Its precision is higher than that of the adaptive filtering method．)

说明：  根据Itti视觉注意模型得到图像的显著区域。本算法简单并且对一般简单的图像能够提取出比较好的显著区域。(According to Itti visual attention model are significant regions in the image. The algorithm is simple and easy on the general good image to extract a significant area.)