搜索资源列表
ga
- 基于遗传神经网络的图像分割[神经网络实用教程中的实例]-Based on Genetic Neural Network for Image Segmentation [neural network tutorial and practical examples]
GA
- 该源码是神经网络中常用的遗传算法的代码。遗传算法是最优化常用的解法之一。-The source code is generated gabor operator of the source image characteristics, such as image segmentation can be used.
MPimage
- 使用MP将图像稀疏分解并且精确重构，其中使用2D的GA原子-MP will use the image sparse decomposition and perfect reconstruction, in which the GA using 2D atomic
ga
- it is a part of a genetic algorithm applied to image segmentation
cbir-GA-code
- its the matlab coding for pattern recoganization in image processing using genetic algorithm-its the matlab coding for pattern recoganization in image processing using genetic algorithm
ga
- 遗传算法实现的阈值分割图像的代码，内附图片，可直接运行-Genetic algorithm for image segmentation code, containing pictures, can be directly run
GA---Genetic-Algorithm--Matlab
- 遗传算法的matlab源代码。。可以应用于图像灰色处理及图形退化模型等诸多模型-Genetic algorithm matlab source code. . Grey can be applied to image processing and graphics degradation model and many other models
GA
- 利用MATLAB编程实现遗传算法，并结合一维多峰值函数对算法性能进行了测试，在MATLAB环境中采用遗传算法有效地解决了求解函数的优化问题，仿真结果验证了该算法的有效性，图像直观，性能优越，为遗传算法的实际应用开辟了新的途径和渠道。-Genetic algorithms using MATLAB programming, combined with a function Victoria Peak performance of the algorithm was tested in the MA
mp
- 基于GA和MP的信号稀疏分解matlab程序来自于信号与图像的稀疏分解及初步应用-Sparse signal sparse decomposition of MP GA and matlab program signal and image decomposition and its application based on