Description: c语言编写的基于BP神经网络的对图像车辆分类，其中图像特征提取是用图像不变矩，给出了图像不变矩的样本数据和验证数据。-based BP neural network image of the vehicle classification, Feature Extraction which is the same image moments, the image is unchanged Moments sample data and test data. Platform: |
Size: 1101824 |
Author:adder |
Hits:
Description: 神经网络识别人脸。包含说明文件。可对不同人的不同姿态的摄影图像进行分类。-neural network recognition face. Includes note. To be different people different posture photographic image classification. Platform: |
Size: 11264 |
Author:代桂平 |
Hits:
Description: 神经网络源码可应用于遥感图像分类，包括bp、kohonen等方法-neural network source can be used in remote sensing image classification, including bp, Kohonen methods Platform: |
Size: 4096 |
Author:刘武 |
Hits:
Description: 基于神经网路的遥感图像分类，使用神经网络对几幅不同频段的遥感图像分类，主要是区分图像中不同的地形区域。-Neural network-based remote sensing image classification, the use of neural networks on a number of different band remote sensing image classification, mainly to distinguish between images of different regions of the terrain. Platform: |
Size: 1244160 |
Author:xxl |
Hits:
Description: 根据：基于不变矩特征和神经网络的图像模式模糊分类 论文 在matlab上做的实验，有7个不变矩生成和神经网络分类的代码，还要论文原文-According to: Based on the characteristics of moment invariants and neural network image mode fuzzy classification papers in matlab to do the experiment, there are seven moment invariants and neural network classifier to generate the code, but also the original papers Platform: |
Size: 146432 |
Author:wanxl_xjtu |
Hits:
Description: Semantic analysis of multimedia content is an on going research
area that has gained a lot of attention over the last few years.
Additionally, machine learning techniques are widely used for multimedia
analysis with great success. This work presents a combined approach
to semantic adaptation of neural network classifiers in multimedia framework.
It is based on a fuzzy reasoning engine which is able to evaluate
the outputs and the confidence levels of the neural network classifier, using
a knowledge base. Improved image segmentation results are obtained,
which are used for adaptation of the network classifier, further increasing
its ability to provide accurate classification of the specific content. Platform: |
Size: 831488 |
Author:焦亚民 |
Hits:
Description: 提出一种基于分形理论和BP 神经网络的航空遥感图像有监督分类方法。该方法尝试将航空图像
的光谱信息和纹理特征相结合。它首先将彩色航空图像由RGB 格式转化为HSI 格式,然后,根据亮度计算分
数维、多重分形广义维数谱q-D( q) 和“空隙”等基于分形的纹理特征,同时加入归一化的色度和饱和度作为光
谱特征,采用BP 神经网络作为分类器。通过对彩色航空图像的分类实验,结果证实该方法行之有效。-Based on fractal theory and BP neural network of aviation remote sensing image supervised classification method. This method tries to aerial images of the spectral information and texture characteristics of the combination. It will first color aerial images from the RGB format into HSI format, and then, according to the brightness calculation of fractal dimension, the generalized multi-fractal dimension spectrum qD (q) and the Platform: |
Size: 274432 |
Author:xuhuoping |
Hits:
Description: 基于神经网络的图像分类方法，代码执行效率高，国外网站上下的，是一个完整的工程-Based on neural network image classification methods, code implementation of high efficiency, foreign Web site from top to bottom, is a complete project Platform: |
Size: 185344 |
Author:haoyubao |
Hits:
Description: 遗传算法(GA)和神经网络(network)结合的算法，用于图像分类，包含完整的工程-Genetic Algorithm (GA) and neural network (network) combining algorithm, for image classification, including the complete works Platform: |
Size: 25600 |
Author:haoyubao |
Hits:
Description: 基于BP神经网络的遥感图像分类代码。从样本中提取崇明岛东滩十种地物的光谱特征，并训练BP网络，再利用网络进行分类-BP neural network-based remote sensing image classification code. Extracted from samples of 10 kinds of Chongming Island, Dongtan features of the spectral characteristics and to train BP network, and then use the network to classify Platform: |
Size: 1413120 |
Author:李琛 |
Hits:
Description: 用于图像识别的新型神经元网络
提出了一种用于图像识别的映封正交神经元网络。
在一般情况下待识别的样本空间的维数相当大,
为了有效地进行识别,必须把样本空间的维数降下来。目前常用的方法就是特征提取法,本文采用映射正交过程把样本空间映射成正交分类空间,并在此基础上,采用网络进行图像分类。计算机上模拟结果表明此网络县有时缺损和噪声图像进行正确识别的能力-Image recognition for a new type of neural network used in a video image recognition of the orthogonal neural network closure. In general, the sample space to be recognition of the considerable dimensions, in order to effectively identify, must be the dimension of sample space down. Commonly used method at present is the feature extraction method, this paper, the process of mapping the sample space orthogonal mapping classification into orthogonal space, and on this basis, the use of network image classification. Computer simulation results show that the county and sometimes the network image defects and noise of the ability to correctly identify Platform: |
Size: 441344 |
Author:wang kun |
Hits:
Description: High information redundancy and correlation in face images result in efficiencies when such images are used directly for recognition. In this paper, discrete cosine transforms are used to reduce image information redundancy because only a subset of the transform coefficients are necessary to preserve the most important facial features such as hair outline, eyes and mouth. We demonstrate experimentally that when DCT coefficients are fed into a backpropagation neural network for classification, a high recognition rate can be achieved by using a very small proportion of transform coefficients. This makes DCT-based face recognition much faster than other approaches.-High information redundancy and correlation in face images result in inefficiencies when such images are used directly for recognition. In this paper, discrete cosine transforms are used to reduce image information redundancy because only a subset of the transform coefficients are necessary to preserve the most important facial features such as hair outline, eyes and mouth. We demonstrate experimentally that when DCT coefficients are fed into a backpropagation neural network for classification, a high recognition rate can be achieved by using a very small proportion of transform coefficients. This makes DCT-based face recognition much faster than other approaches. Platform: |
Size: 25600 |
Author:mhm |
Hits:
Description: 神经网络源码，可应用于遥感图像的分类，采用的包括bp、kohonen。可以作为范例来学习。-Neural network source code can be used in remote sensing image classification, using the included bp, kohonen. Can serve as examples to learn. Platform: |
Size: 5120 |
Author:葛宏 |
Hits:
Description: Paper on : Classification of Forest Vertical Structure in
South Korea from Aerial Orthophoto and
Lidar Data Using an Artificial Neural Network , By
Soo-Kyung Kwon, Hyung-Sup Jung * ID , Won-Kyung Baek and Daeseong Kim Platform: |
Size: 5520384 |
Author:razibaz |
Hits:
Search - neural network image classification