RGBImageSegment

WPF 3D图片浏览墙

机器视觉,计算机视觉,人脸识别,形态学,图像采集,压缩编码,数字水印,神经网络,人工智能,模式识别,特征提取,图像检索,视频检索,计算机图形学(machine vision, computer vision, face recognition, morphology, image acquisition, compression, digital watermarking, neural network, artificial intelligence, pattern recognition, feature extraction, image retrieval, video retrieval, computer graphics)

OCT 成像GPU加速,非常有价值,请参考(S0141 GPU Accelerated Optical Coherence Tomography Imaging)

说明：  QC-LDPC的BP译码算法，MATLAB实现，简单易懂，已成功(Various encoding and decoding methods of LDPC)

说明：  使用gpu、cpu并行进行sift算子计算匹配，能够在原来的基础上加速处理，但对显卡要求较高，具体环境配置使用方法可以参照mannual(SiftGPU is an implementation of SIFT [1] for GPU. SiftGPU processes pixels parallely to build Gaussian pyramids and detect DoG Keypoints. Based on GPU list generation[3], SiftGPU then uses a GPU/CPU mixed method to efficiently build compact keypoint lists. Finally keypoints are processed parallely to get their orientations and descriptors. SiftGPU is inspired by Andrea Vedaldi s sift++[2] and Sudipta N Sinha et al s GPU-SIFT[4] . Many parameters of sift++ ( for example, number of octaves, number of DOG levels, edge threshold, etc) are also available in SiftGPU. The shader programs are dynamically generated according to the parameters that user specified. SiftGPU also includes a GPU exhaustive/guided sift matcher SiftMatchGPU. It basically multiplies the descriptor matrix on GPU and find closest feature matches on GPU. Both GLSL and CUDA implementations are provided. )

超像素分割图像，将彩色图像转化为CIELAB颜色空间和XY坐标下的5维特征向量，然后对5维特征向量构造距离度量标准，对图像像素进行局部聚类的过程(simple linear iterativeclustering)

对已有图像进行锐化，这里有不同的方法对比，效果非常好，非常显著(The existing image sharpening, there are different methods to contrast, effect is very good, is very significant )

说明：  灰度直方图双峰法分割，传统的分割方法。适合初学者学习。(Bimodal histogram segmentation method)

document about computer vision - image processing

根据相机的指向数据，实现对亮星星表9110颗星在探测器上的模拟投影，得到序列星图(According to the data of the camera, to achieve the Bright Star Catalogue 9110 stars on the detector simulation projection to obtain sequence star map)