plt2dxf127

超像素分割方法，在计算机视觉领域，图像分割（Segmentation）指的是将数字图像细分为多个图像子区域（像素的集合）（也被称作超像素）的过程。超像素有一系列位置相邻且颜色、亮度、纹理等特征相似的像素点组成的小区域。这些小区域大多保留了进一步进行图像分割的有效信息，且一般不会破坏图像中物体的边界信息。(Super pixel Segmentation method, in the field of computer vision, image Segmentation, Segmentation) refers to the digital image Segmentation region for multiple image sequence (the set of pixels) (also known as the pixels) process. Adjacent pixels have a series of position and features such as color, brightness, texture similar to that of small region composed of pixels. Most of these small area retains the further effective information for image segmentation, and generally does not destroy the boundary of the object in the image information.)

根据输入的色坐标自动计算出色域,并标注在CIE-1931色度图上.(Automatically calculate based on the input color coordinates of the gamut, and marked in the CIE-1931 chromaticity diagram.... )

主要功能是实现相机标定，以及实现反投误差，实现特征点的提前。(The main function is to achieve camera calibration and error to achieve the anti-investment, to achieve the feature points in advance.)

说明：  由于只是利用图像的灰度信息, SIFT 算法不能很好地区分形状相似但颜色不同的物体。针对这一问题, 提出了一种基于彩 色的SIFT 特征点提取算法, 并着重分析了多种彩色模型对算法性能的影响。这种算法也是在图像的灰度尺度空间上检测特征点, 但其特征向量由各描述子子区域的彩色模型分量的均值组成并在原始的彩色图像上进行计算。(SIFT)

自己编写的C++小程序，十字算法，用到KD树，能够有效进行点云去噪，压缩数据(I have written a small program C++, cross algorithm used in KD tree, the point cloud can be effectively de-noising, compression of data)

用画笔绘制圆角矩形，椭圆，饼形，并用不同颜色画刷进行填充。(Draw a rounded rectangle, ellipse, pie with a brush, and brush with a different color fill.)

用于各种特征提取主成分分析法，如表情提取，人脸提取，识别分类等(For a variety of features to extract the principal component analysis (pca)，Such as expression extraction, face extraction, identification classification, etc)

简单起见，这里设定阈值为122，即最大灰度的一半(the sake of simplicity, this threshold value is set to 122, the largest gray half)

实现在图像背景上叠加 下雨 下雪 的效果(Achieve in the BMP image background superimposed rain, snow effect)

这是一个对动力学模型进行仿真的代码，可以得出动力学仿真图像(dynamics simulation )