VMD

使用VC++编程，自动检测角点，实现图像配准，代码可用。(Automatically detect the corner points, for image registration, the code is available.)

一个简短的计算图像信息熵的程序，对于初学IDL的开发者来说，有一定的借鉴作用(A brief image information entropy calculation procedure, IDL for beginner developers who have a certain reference)

一种利用图像中直线特征的方法来标定摄像机畸变参数的方法。该方法提取图像中多组不同方向的平行直线，并对其利用非线性最小二乘方法进行优化以得到最优的畸变参数，在优化过程中，采用多步渐进的策略。该方法不需要已知三维世界坐标，易于实现。实验表明，该方法有较高的准确率。(A camera lens distortion method is proposed, which uses the straight line features. Many parallel lines of different direction were extracted, and then were used to optimize the distortion parameters by nonlinear least square. The thought of step by step was added when the optimization method working. 3D world coordination is not need to know, and the method is easy to implement. The experiment result shows its high accuracy.)

C++和halcon结合，用于图形处理时进行三相机标定(C++ and halcon combined for three camera calibration)

：植物种类识别方法主要是根据叶片低维特征进行自动化鉴定。然而，低维特征不能全面描述叶片信息，识别准确率低，本文提 出一种基于多特征降维的植物叶片识别方法。首先通过数字图像处理技术对植物叶片彩色样本图像进行预处理，获得去除颜色、虫洞、 叶柄和背景的叶片二值图像、灰度图像和纹理图像。然后对二值图像提取几何特征和结构特征，对灰度图像提取 Hu不变矩特征、灰 度共生矩阵特征、局部二值模式特征和 Gabor 特征，对纹理图像提取分形维数，共得到 2183 维特征参数。再采用主成分分析与线性 评判分析相结合的方法对叶片多特征进行特征降维，将叶片高维特征数据降到低维空间。使用降维后的训练样本特征数据对支持向量 机分类器进行训练(plant species identification method is mainly based on blade automatic identification of low dimensional characteristics.However, can not fully describe blade low-dimensional feature information, identification accuracy is low, in this paper A kind of plant leaves recognition method based on multiple feature dimension reduction.First by digital image processing technology to the plant leaf color sample image preprocessing, obtain background color removal, wormhole, petioles, and the blades of a binary image, gray image and texture image.Then the binary image to extract the geometric characteristics and characteristics of structure and characteristics of gray image extraction Hu moment invariants, gray co-occurrence matrix feature, local binary pattern features and Gabor, to extract the fractal dimension of texture image, get 2183 d characteristic parameters.By principal component analysis and linear uation analysis method of combining the characteristics of blade more feature dimensi)

叠加平均去噪过程的实现，信号产生，加噪，去噪效果的显示(Average denoising, signal generation, noise addition, display the denoising effects)

The QTimer class provides repetitive and single-shot timers for Linux.

说明：  使用python中的opensilde库对tiff格式图片进行分割。(TIFF format image segmentation.)

背景音乐只是随便写了写,具体的可以改数组里的数字.有点闪的效果还是不太好看. (Background music just casually write write array of specific numbers can be changed. Bit flash effect is still quite nice.)

compressing the image using JPEG 2000 compression coding to get 10:1 ratio