Roma_MATLAB

振动信号预处理。去噪、去趋势项等。滑动平均法消除趋势项。(Vibration signal preprocessing. De-noising, the trend term.)

LLC做的图像分类算法，非常经典的图像分类算法。属于Bag-of-Feature模型，采用的是SIFT特征描述组。(LLC do image classification algorithm, belonging to the Bag-of-Feature model using the SIFT descriptor group)

MATLAB程序；图像的小波系数提取，然后进行奇异值分解，得到图像的特征系数。(MATLAB program wavelet coefficients of the image extraction, and singular value decomposition, image feature coefficients.)

本程序包括图像的几何变换、图像的灰度变换、图像的空域增强、图像的频域增强、图像的形态学处理、图像的分割和区域增长、还有图像的数字识别等一系列有关图像的基本操作和处理。(This procedure including the image geometric transform, the image gradation transformation, the image air zone strengthens, the image frequency range to strengthen, image morphology processing, the image division and the region grows, also has the image digital recognition and so on a series of related image elementary operation eo and processing. )

对二维码图像进行灰度化、中值滤波、二值化、边缘检测、霍夫变换等预处理(The two-dimensional code image is grayscale, median filter, two valued, edge detection, Hough transform and other pre-processing.)

说明：  matlab函数进行图像轮廓处理，处理效果还是可以的。(matlab function detect the picture and scale the picture)

增量直线拟合(incremental line fitting)算法描述多个物体(Incremental line fitting (incremental line fitting) algorithm for multiple objects described)

滤波的方法有很多，其中小波滤波很实用，提出了一种二进小波变化的算法。(There are a lot of filtering method, the wavelet filter is very practical, this paper proposes a binary wavelet algorithm.)

说明：  该压缩包内含有基于梯度金字塔变换的多模态图像融合方法的MATLAB代码，可以直接运行，得到融合结果。另外，压缩包内包括了多组已配准、待融合的图像示例，具体包括红外图像与可见光图像、CT与MR图像，多聚焦图像。本人还对代码进行了必要的解释。推荐下载(The compression package contains matlab code of multimodal image fusion method based on gradient pyramid transformation, which can be run directly to get fusion results. In addition, the compressed package includes several groups of images that have been registered and to be fused, including infrared images and visible images, CT and MR images, and multi focus images. I also gave the necessary explanation to the code. Recommended download.)

在matlab环境中对图像提取Haar特征(Environment in matlab to extract Haar features for image)