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基于小波零树特性的视觉感知度模型的优化方案, 给出了两种水印算法: 一种算法嵌入的是高斯序列水印, 通过相关检测实现盲检测 另一种算法嵌入的是二值图像水印, 水印的提取是非盲提取。这两种算法在所有重要小波系数( 包括最低频系数) 中嵌入水印, 以达到最大化水印嵌入量的目的, 并结合感知度模型在水印的透明性和鲁棒性之间实现了较好的平衡, 对于常见的图像处理操作, 特别是对于JPEG 和小波压缩均有较好的鲁棒性。-based on wavelet zerotree visual perception
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图像处理中关于白平衡和彩色差值的一些算法优化和算法提升-White balance and color difference algorithm optimization and algorithms to enhance image processing
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基于互信息的图像配准，优化算法采用Powell算法，采用matlab编写-Mutual information-based image registration, optimization algorithm uses Powell algorithm, using the preparation of matlab-Based on mutual information image registration, using Powell optimization algorithm, using
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基于互信息的图像配准，优化算法采用Powell算法，采用matlab编写-Mutual information-based image registration, optimization algorithm uses Powell algorithm, using the preparation of matlab-Based on mutual information image registration, using Powell optimization algorithm, using
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This a demo program of image edge detection using ant colony, based on
the paper, "An Ant Colony Optimization Algorithm For Image Edge
Detection," IEEE Congress on Evolutionary Computation (CEC), pp. 751-756, Hongkong,
Jun. 2008.
Con
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ue to the volume conduction multichannel electroencephalogram (EEG) recordings
give a rather blurred image of brain activity. Therefore spatial filters are
extremely useful in single-trial analysis in order to improve the signal-to-noise
ratio.
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基于遗传算法和基于粒子群算法的改进近似模型，对比图象和理论-Based on Genetic Algorithm and Particle Swarm Optimization Based on Improved approximation model, image contrast and theoretical
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遗传算法和粒子群算法优化的近似模型，图象，理论与对比等说明。-Approximate model of genetic algorithm and particle swarm optimization, the image, and contrast theory and explanation.
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本程序是采用正交匹配算法实现图像LENA的压缩传感,而且该程序没有经过任何优化处理。-This program is the use of orthogonal matching algorithm for image compression LENA sensing, and the program has not been any optimization.
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硕士论文，基于机器视觉苹果检测算法的研究。主要内容包括：1、国内外研究现状及进展 2、苹果图像采集与处理 3、苹果大小与形状检测 4、粒子群优化的BP神经网络苹果颜色检测算法 5、遗传算法优化BP神经网络苹果缺陷检测算法 6、苹果检测系统的软件、硬件及界面设计-Research on Apple detection algorithm based on machine vision. The main contents include: 1, the domestic and foreign r
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Metaheuristic models have proven very flexible in tackling optimization problems and, in particular, in image processing . The aim of this work is the analysis and comparison of possible metaheuristics that allow oneto evolve a generic segmentation a
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基于经典的增广拉格朗日乘子法, 对求解一类带有特定结构（主要是针对凸规划）的非光滑等式约束优化问题, 我们提出、分析并测试了一个新算法. 在极小化增广拉格朗日函数的每一步迭代中, 该算法有效结合了带有非单调线性搜索的交替方向技术, 我们建立了算法的收敛性, 并用它来求解在带有全变差正则化的图像恢复问题.-Based on the classic augmented Lagrangian multiplier method, we propose, analyze and test an algo
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遗传算法无功优化，完整的图像处理课设，包含所有源代码，汽车图像，利用最小二乘法进行拟合多元非线性方程。- Genetic algorithm based reactive power optimization, Complete class-based image processing, contains all of the source code, auto image, Multivariate least squares fitting method of nonlinear equat
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图像的光流法计算的matlab程序,给出接收信号眼图及系统仿真误码率，算法优化非常好，几乎没有循环。- Image optical flow calculation matlab program, The received signal is given eye and BER simulation systems, Algorithm optimization is very good, almost no circulation.
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包含优化类的几个简单示例程序，意信号卷积的运算,并且绘制图象，最小均方误差（MMSE）的算法。- Optimization class contains several simple sample programs, Convolution operation is intended to signal and image rendering, Minimum mean square error (MMSE) algorithm.
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实现六自由度运动学逆解算法，sar图像去噪的几种新的方法，包含优化类的几个简单示例程序。- Six degrees of freedom to achieve inverse kinematics algorithm, Several new methods sar image denoising, Optimization class contains several simple sample programs.
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