CV_model2

说明：  这是“An efficientlocalChan–Vesemodelforimagesegmentation”（简称LCV模型）的MATLAB源代码。LCV模型是非常重要局部区域活动轮廓模型，它被广泛使用于各个领域，如MRI大脑图像分割，血管图像分割，图像偏差场纠正。(This is "An efficientlocalChan-Vesemodelforimagesegmentation" (referred to as the LCV model) of the MATLAB source code. LCV model is very important to local area active contour model, which is widely used in various fields, such as MRI brain image segmentation, vessel segmentation, image bias field correction.)

水下图像的增强及边缘检测，效果很好，具有很好的参考作用(Underwater Image Enhancement and Edge Detection)

说明：  性能上比经典分水岭有很大的提高。特别对于自然图像的分割，效果特别好。(Performance than the classical watershed have greatly improved. Especially for natural image segmentation, the effect particularly good.)

批处理与重投影MODIS MOD04 数据(Reproject MODIS s mod04 data)

为彩色的处理 为彩色的处理 (color processing for the treatment of Color Color Color handling of the treatment)

一种基于模糊集增强的图像处理算法，可以降噪和锐化图像(Fuzzy set enhanced image processing algorithm, noise reduction and can sharpen the image)

极化SAR图像处理中，将三个不同极化通道的数据进行为彩色合成的程序(Polarization SAR image processing, will be three different polarization data-channel color composite of the procedures for)

活动目标检测源码,用混合高斯算法编写，适用于复杂场景视频监控(alive target detection，used in GMM algorithm)

说明：  将已知的灰度图像逆时针旋转60度，矩阵运算，图像旋转(Rotate the known grayscale image 60 degrees counterclockwise, matrix operation, image rotation)

mp算法实现的图像稀疏分解表示 ，已经调试通过，供参考学习(Image fusion based on wavelet transform has been debugged, for reference study)