matlab_4

详细介绍了MATLAB用于图像处理的相关函数命令！方便实用。(MATLAB for detailed information on the correlation function of image processing commands! Convenient and practical.)

一种典型的人工蜂群算法（ABC）的MATLAB仿真实例，注释很详细。(A typical artificial bee colony algorithm (ABC) MATLAB simulation examples, very detailed notes.)

核回归方法图像复原算法工具包，内含完整MATLAB代码，以及测试图像、相应的参考文献。(kernel regretion based image restoration algorithm,including the whole MATLAB code,tested image and the ralated referances.)

Edge detection result should be enhanced using linear method like Median filter to remove the garbage around the pupil to gain clear pupil to determine perfect centre. Get the centre of the pupil by counting the number of black pixels (zero value) of each column and row. Then get each row and column that has the maximum number of these black pixels. Then determine the center by simple calculation according to the image coordinate to set it correct on the image, consequently we can determine the radius of the pupil. Thus we can find the pupillary boundary (inner). A similar procedure is extended by using a coarse scale to locate the outer boundary (limbus) which can be apparent by using the mid-point algorithms of circle and ellipse.

血细胞图像调焦清晰度判别函数主要利用爬山算法实现(Blood cells image focusing clarity discriminant function climbing algorithm)

this coding use for students who use matlab steganography. the code will be highly used in recent times.

problems turbo pascal

Matlab在图像处理与目标识别方面的应用实验，3个数字图像处理作业，车牌识别，边缘检测，包括实验数据代码以及报告，matlab实现(Matlab image processing and target recognition in the application of experimental)

卡尔曼滤波在目标跟踪中应用仿真研究。目标跟踪是卡尔曼滤波的主要应用领域，进一步 加深对卡尔曼滤波算法的理解，了解卡尔曼滤波器算法的基本特点， 掌握卡尔曼滤波算法应用研究的基本步骤和方法。(The application of Kalman filter in target tracking is simulated. Target tracking is the main application area of Kalman filter. To deepen the understanding of Kalman filter algorithm and understand the basic characteristics of Kalman filter algorithm. Grasp the basic steps and methods of Kalman filtering algorithm application research.)

粒子群算法阵列优化，对阵列方向图的综合，实现低副瓣阵列方向图(Particle swarm optimization (PSO) algorithm for array pattern synthesis to achieve low sidelobe array pattern)