DDE

说明：  图象压缩方面的论文 可用于毕业设计方面的工作(Image compression can be used for graduate thesis work of design)

说明：  ：针对显微图像分析、识别需要的全自动控制显微镜，研究开发其相应的图像处理算法。提 出了能量谱自动聚焦评价函数算法、自适应选取基准图的图像拼接算法、改进 Laplacian算子的多层 聚焦图像叠合算法等。该算法模块已成功地应用于所开发的CMIAS 显微医学图像分析系统中，取得 了满意的应用效果。(【ABSTRACT】For the automatic microscope required by micro-image analysis and recognition, the relevant image processing a lgorithms are investigated. Three algorithms are described: energy-spectrum image auto focusing evaluation function, image merging based on the adaptive selection of standard image and sum-modified-Laplacian (SML) operator for multi-focus image fusion. The algorithms have been applied successfully to CMIAS medical micro-optical image analysis system and testified to be feasible and effective. )

sift匹配算法 尺度不变变换 特征描述子 特征点匹配 (sift match)

：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)

对各种格式图像实现打开保存旋转的操作的示例工程的说明文档。(images of various formats to achieve preservation of open rotation examples of the operation of the project documentation.)

数字图像处理方面的常用操作 人脸识别 图像打开和保存 类似photoshop操作 (Digital image processing operations commonly used face recognition and preservation of the image to open a similar operation photoshop)

说明：  物体运动的跟踪，比如行人和车辆等物体的跟踪(Tracking the motion of an object, such as a pedestrian or vehicle)

用数字图像处理主要是为了修改图形,改善图像质量,或是从图像中提起有效信息,还有利用数字图像处理可以对图像进行体积.(Using digital image processing is mainly graphics in order to modify and improve the image quality, or from the image to bring effective information, as well as the use of digital image processing can be carried out on the image size.)

直接线性变换DLT，直接由像平面坐标到地面空间坐标的直接变换，可用于量测相机，非量测相机（本人用的是 高速相机）。配合前方交会验证l系数的准确与否。以DLT得到的结果为初值，用光束法平差可以期望得到更高精度。是数字摄影测量课程作业的例子。(Direct linear transformation DLT, and the direct conversion of coordinates directly from the image plane to the ground space coordinates, the camera can be used for measuring the non-measurement camera (I use a high-speed camera). Tie the forward intersection verify l coefficient accurate or not. To the the DLT results obtained for the initial value, bundle adjustment can expect greater accuracy. Examples of digital photogrammetry course work.)

实现对鱼眼图像的校正 我自己执行过 可以使用(it can realise the rectification of the fish eye image )