active-contour-level-set

matlab下图像处理技术在智能交通中的应用 主要是小车的跟踪和标示(matlab image processing technology under the Intelligent Transportation System in the main car tracking and labeling)

使用matlab分析传统光学系统加入三次相位掩模板之后对中间像进行图像复原(Analysis using matlab conventional optical system after adding three phase mask image on the intermediate image restoration)

应用傅立叶变换对图像处理，实现查看图像的功率谱，以及功率谱经过巴特沃斯高通、低通和高斯高通、低通滤波器后图像的功率谱，再把功率谱还原为图像的功能。(Fourier transform for image processing, see the image of the power spectrum, and the power spectrum after Butterworth high-pass, low-pass and high-pass Gaussian low-pass filter of the image after power spectrum, and then restore the power spectrum of the image.)

一个车牌字符分割小程序，分割效率高。实现简单(A license plate character segmentation of small procedures, segmentation and high efficiency. Realize a simple)

本程序用于图像恢复，主要针对运动模糊和离焦模糊图像恢复问题，效果较好。(failed to translate)

用水平集（level set）方法和mumford-shah图像分割模型的图像分割matlab源代码(Mumford functional for segmentation and level sets.)

说明：  This is BM3D algorithm implemented according to the paper: K. Dabov, A. Foi, V. Katkovnik, and K. Egiazarian, “Image denoising by sparse 3D transform-domain collaborative filtering,” IEEE Trans. Image Process., vol. 16, no. 8, pp. 2080-2095, August 2007.(This is BM3D algorithm implemented according to the paper: Image denoising by sparse 3D transform-domain collaborative filtering)

亚像素边缘检测，比像素级边缘检测更有精确(Subpixel edge detection)

图像质量评价，熵、平均梯度、边缘强度、方差等(Image quality evaluation, entropy, average gradient, edge strength, variance, etc.)

多尺度LBP，代码根据论文“Learning Multi-scale Block Local Binary Patterns for Face Recognition”编写的(this code is obtained from the paper named "Learning Multi-scale Block Local Binary Patterns for Face Recognition")