transfor_img_to_tif

几个大牛对集成了国内外特征提取最前沿的算法，特征提取，DOG,HARRIS,HARRIS-LAPLACE,HARRIS-AFFINE,MSER.描述符，SIFT,AFFINE-SIFT,GLOH.经测试，速度快，描述符准确。(Integration of feature extraction algorithms from several expert of domestic and international, feature extraction： DOG, HARRIS, HARRIS-LAPLACE, HARRIS-AFFINE, MSER； Descriptors： SIFT, AFFINE-SIFT, GLOH. The test reveal the speed and accurate descriptor.)

数字图像处理中的平滑和锐化（边缘检测）。包括1、添加椒盐、高斯噪声。2对噪声污染的图像分别使用邻域平均法、中值滤波法、K邻近平均法进行平滑。3对一幅图像利用Roberts梯度法、Sobel算子和拉普拉斯算子进行锐化，并比较结果。附处理源图像和处理结果截图。 (Digital image processing smoothing and sharpening (edge detection). Including 1, add salt and pepper, Gaussian noise. Two pairs of images were used noise pollution neighborhood average, median filtering, K close to the average method to smooth. 3 on an image using Roberts gradient method, Sobel operator and Laplacian sharpening, and compare the results. Laws dealing with the source image capture and processing results.)

ENVI是比较常用的遥感图像处理软件，使用该插件，可以使ENVI软件支持HDF5格式的遥感影像，HDF5数据格式是科学计算一体化数据格式，常用于卫星遥感影像的外部存储。(Envi is more commonly used in remote sensing image processing software, use the plugin can enable envi software support the HDF5 format of remote sensing images, the HDF5 data format is scientific computing integration data format, commonly used in satellite remote sensing image of the external storage. )

对于iOS图像旋转，精选ios学习编程源码，很好的参考资料。(For iOS image rotation, selection of learning IOS programming source code, a good reference.)

semi-supervised learning 半监督局部线性嵌入(semi-supervised learning )

说明：  通过比较在预处理中选择了灰度变换增强、选择了中值滤波平滑、Sobel算子锐化并利用Ostu法阈值分割法进行分割；用了小波多尺度检测进行检测，最后计算出大桥裂缝的相关数据，在大桥桥梁裂缝检测方法与研究中可以较好的实现大桥桥梁裂缝图像的检测。(the gray-scale transform enhancement, median filter smoothing, Sobel operator sharpening are selected in the preprocessing, and the Ostu threshold segmentation method is used for segmentation; finally, the wavelet multi-scale detection is used for detection, which can better realize the detection of the bridge surface crack image in the bridge surface crack detection method and research.)

说明：  前馈神经网络图像去噪，DnCNN的MATLB实现，以及相应的峰值信噪比和结构相似性的计算。(DnCNN,MATLAB,And calculation of peak signal-to-noise ratio structural similarity)

说明：  双目测距bm算法，已经实现,基于vs2015+opencv3.2,测距精度很高，一米内精度一厘米误差(Binocular ranging bm algorithm, which has been implemented, is based on vs2015 + opencv3.2, which has high accuracy and one centimeter error in one meter)

基于matlab的CT图像处理，提取感兴趣的区域，并染色。计算面积(Based on matlab CT image processing, extract the region of interest and dyed. Calculate the area)

在计算机视觉中，图像分割是将图像分成多个片段的过程。这使我们能够通过以比原始图像更简单的表示方式来更好地分析图像。一种用于分割图像的方法是阈值分割；也就是说，将强度值低于阈值的所有像素设置为背景值，而将高于阈值的其他像素设置为前景值。最简单的阈值处理形式是对所有像素使用全局阈值，而自适应阈值处理根据像素及其周围环境动态改变阈值。典型地，阈值处理从灰度图像开始，并输出二进制图像以清晰地描绘图像中的片段。在本实验中，我们开发了一种自适应阈值算法，并将其与更简单的算法进行了比较。 此外，我们还开发了逆运动学证明来将机械臂移动到给定的x，y，z坐标。这一证明涉及三种命名身份，并获得了对机械臂设计的更好理解。(Image threshold segmentation)