搜索资源列表
dbnn
- 基于神经元算法的图像处理,效果挺不错的,大家可以-neurons algorithm based on the image processing, the effect sounds very good, we can learn
ssr_retinex_grahics
- 中心/ 环绕Retinex 算法。自从Retinex 理论提出以来, Land 本人和其他 人先后提出了Retinex 不同的变种, 最新的一个版 本是中心/ 环绕Retinex 7 。该方法比较以前的版 本, 运算速度显著提高, 而且物理意义更加清楚。 这种运算与人类视网膜和大脑皮层神经元的神经生 理学函数相关, 其形式类似于自然视觉科学中常用 来模拟单个神经元感受野的高斯差分函数-center / around Retinex algorithm. Since Ret
GPU-CUDA001
- 文章介绍如何使用CUDA实现神经网络,并把他应用在GPU图像处理单元上。 -An Artificial Neural Network is an information processing method that was inspired by the way biological nervous systems function, such as the brain, to process information. It is composed of a large number of
ImageSeg_pcnn
- 实现图像的PCNN分割算法,神经元计算次数自适应选择-The PCNN segmentation algorithm to achieve image, calculate the number of adaptive selection of neurons
NeuralN
- 用Matlab编写的神经元网络程序,可对图像进行分类。程序用到了4种神经元方法,BP效果最好。-Neural network using Matlab program, the image classification. The program used four kinds neurons BP effect.
shujuchuli
- 模拟单个图像对视觉感受野刺激,响应的提取及特征因子整合,多幅图像整合后的特征神经元刺激响应。源代码值得拥有-Simulate the visual receptive field single image stimulus response characteristic factor extraction and integration of multiple images feature integrated stimuli-responsive neurons. Source code is
shaixuandaima
- 包括视觉感受野神经元响应提取代码,特征因子筛选及分类代码,数据处理代码-Including visual receptive fields of neurons responding to extract the code, feature selection and classification codes factor, data processing code, etc.
Exercise4
- 程序实现设计一单一感知器神经元以及采用神经网络拟合奇异函数。压缩包中还包含相关的参考资料。-Design a program to achieve a single sensor neurons and neural networks fitting singular function. Compressed package also contains the associated reference materials.
BPshuzishibie
- 基于CNN的神经元经典代码,对学习很有帮助,它主要包括了基于MATLAB神经元处理的一些解释与功能的实现等。-Based on CNN neurons classic code, very helpful, which includes a number of interpretation and implementation of functionality based on MATLAB neural processing and the like.
GABOR
- 二维Gabor基函数能够很好地描述哺乳动物初级视觉系统中一对简单视觉神经元的感受野特性。Gabor滤波器对于图像的亮度和对比度变化以及人脸姿态变化具有较强的健壮性,并且它表达的是对人脸识别最为有用的局部特征,故在计算机视觉及纹理分析中得到广泛的应用。波长(λ)方向(θ)相位偏移(?) 长宽比(γ)带宽(b)(The two-dimensional Gabor based function can well describe the receptive field characteristics