analysefusion

用matlab进行图像检索，基于边缘直方图（EHD）描述子，它是MPEG-7标准中提出的一种边缘描述子，它具有描述图像亮度变化的方向和频率的能力。资料为主程序代码。(Matlab for image retrieval, based on the description of the edge histogram (EHD) sub, it is proposed in the MPEG-7 standard descriptor an edge, it has the direction of the change and the frequency of the described image brightness capability. Data the main program code.)

基于扩展卡尔曼滤波器的粒子滤波器源程序The iterated extended kalman particle filter(based on extended Kalman Filter The particle filter iterated extend source ed Tracking particle filter)

SSIM函数。一种衡量两幅图像相似度的新指标，其值越大越好，最大为1。(SSIM function. A measure of image similarity two new indicators, the greater its value better, a maximum of 1.)

各种图像质量评价方法，非常适合图像的客观质量评价。(All kinds of image quality uation method, it is very suitable for objective image quality uation.)

利用BCB编程，实现JPEG图像选择加载功能，并在TChart控件上显示图像的灰度直方图(The use of the BCB programming, loaded JPEG image selection and image histogram on in TChart controls)

一种基于彩色图像分割的余弦相似度的快速的谱聚类算法(A Fast Spectral Clustering Algorithm Based on Cosine Similarity for Color Image Segmentation)

说明：  快速图像修复的各种算法 各种算法详尽的表述及其相互比较(Fast image restoration algorithms detailed presentation of the various algorithms are compared)

多种图像增强方法，效果都挺好的的。包括dct，灰度变换，直方图均匀化，图像锐化(variety of image enhancement methods, the results are very good. Including Extra, the gray-scale transformation, histogram equalization, image sharpening, etc.)

SURF算法作为一种新近出现的特征提取方法，在重复度、独特性、鲁棒性3个方面，均超越或接近以往提出的同类方法，并在计算效率上具有明显的优势。本代码采用SURF算法检测图像并进行坐标变换与图像拼接。 采用SURF算法对图像进行检测，其主要是用Hessian矩阵对图像进行检测，对图像的特征提取之后找到图像的特征点。之后采用最近临快速匹配（NN）、随机抽样一致性（RANSAC）算法和最小二乘法参数优化（LM）对特征点进行提纯匹配。最后在两幅图像中进行坐标变换，达到统一坐标系和图像拼接的效果。 (SURF（Speeded Up Robust Features） as a method of feature extraction which newly appeared is over or nearly previous method on duplication, uniqueness, and robustness and have a clear advantage on computational efficiency. This code uses the SURF and coordinate transformation algorithm to detect image and image matching. This code uses the SURF algorithm of image detection, the main is to use the Hessian matrix of image for testing, to find the image after image feature extraction of feature points. After we used Nearest Neighbor (NN), Random Sample Consensus (RANSAC) algorithm and least square parameter optimization for purification of matching feature points. Coordinate transformation in the last two images, to coordinate system to achieve the same image stitching. )

一个功能强大的图形编辑器，其底层框架非常容易扩展，支持流程图、网络拓扑图、电力图、UML图等。有完整的画布管理、网格控制、滚动、图元缩放、从存储至加载显示，支持Ctrl A、Ctrl C、Ctlr V、Ctlr Z操作，可设置各图元附加属性，图元分组与合并、分层，弹出菜单控制等等。