Description: 车牌定位与识别系统,首先将彩色图像转化为256灰度图像,然后用边缘检测和形态学等实现定位,再用神经网络方法实现字符识别.-plates positioning and identification system will first color image into a 256 grayscale image, Then Edge Detection and morphology, and so on to achieve positioning, and then neural network method Character Recognition. Platform: |
Size: 103184 |
Author:孙杰 |
Hits:
Description: 车牌定位与识别系统,首先将彩色图像转化为256灰度图像,然后用边缘检测和形态学等实现定位,再用神经网络方法实现字符识别.-plates positioning and identification system will first color image into a 256 grayscale image, Then Edge Detection and morphology, and so on to achieve positioning, and then neural network method Character Recognition. Platform: |
Size: 103424 |
Author:孙杰 |
Hits:
Description: 这个是脉冲耦合神经网络在边缘检测中的应用，脉冲耦合神经网络是第三代神经网络，天生就具有图像处理的优势。-This is a Pulse-Coupled Neural Networks in Edge Detection, pulse coupled neural network is the third generation of neural networks, image processing inherently advantage. Platform: |
Size: 2048 |
Author:刘正君 |
Hits:
Description: 山 东 大 学 硕 士 学 位 论 文：图像边缘检测算法的研究本 文 分 为 七 个 部 分 。第一部分首先阐述了课题的研究背景、意义以
及该领域的发展现状；第二部分介绍了几种经典的边缘检测方法，给出
了这些方法的图像边缘检测结果，并且进行了相关的分析比较；第三部
分阐述了BP 神经网络的结构以及数学模型等相关知识；第四部分具体
介绍了一种新的基于统计向量和BP 神经网络的边缘检测方法；第五部
分介绍了一种有效的边缘细化算法，它可以对新方法得到的图像边缘进
一步处理以达到边缘的准确定位；第六部分给出了新方法的实验结果并
且进行了相关分析。最后，本文在第七部分提出了研究展望以及后续研
究的主要内容。
-The paper is organized as following seven parts. Firstly, Section 1
gives an introduction of the background, significance and development of
the field of edge detection. And Section 2 introduces several classic edge
detectors and gives edge detection results of these methods and offers
some relative analysis and comparison. Then Section 3 offers specific
knowledge about the architecture and mathematical model of the BP
neural network. The specific algorithm and architecture of the proposed
new edge detector based on the statistical vector and the BP neural
network are introduced in Section 4. And an effective algorithm of edge
thinning which is helpful for accurate edge localization is offered in
Section 5. Experimental results and analysis of the performance of the
new edge detector are presented in Section 6. At last, the paper ends with
some further research plans mentioned in Section 7. Platform: |
Size: 173056 |
Author:swx |
Hits:
Description: 本文探讨了神经网络用于图像压缩的方法，提出了一种基于边缘信息检测的BP神经网络压缩方法:按图像各部分像素特征将图像分为平滑块、纹理块和边缘块，不同的分类块采用不同的隐含层数。实验结果证明本算法在在保证重建图像丰富细节的同时，能大大提高图像的压缩比。-This paper discusses the neural network for image compression method, edge information is presented based on BP neural network detection of compression method: According to the various parts of the image pixels will be characterized by a smooth image is divided into blocks, the texture blocks and edge blocks, different types of blocks implied different layers. Experimental results show that the algorithm in detail in ensuring the reconstruction of the image-rich at the same time, can greatly improve the image compression ratio. Platform: |
Size: 382976 |
Author:王蒙 |
Hits:
Description: 对拍摄得到的驾驶员视频帧图像, 使用复合肤色模型检测人脸 通过自适应边缘检测、 图像增强等方法处理得到
特征图像, 经特征区域筛选, 依据人脸先验知识匹配得到最佳人眼对 提取眼部特征向量, 结合 LVQ神经网络进行模式
识别检测眼部状态, 为判断驾驶员是否处于疲劳状态提供判据。-Video shot by the driver of the frame, the use of composite skin model of face detection through adaptive edge detection, image enhancement approach to be characteristic image, the feature area selection, based on prior knowledge of face matching the best human eye extracted eye feature vectors, combined with LVQ neural network pattern recognition detection of eye condition, to determine whether driver fatigue is provided in the criterion. Platform: |
Size: 106496 |
Author:廖减员 |
Hits:
Description: In Year 2012, C.P. Sumathi performed a work," A SURVEY ON VARIOUS APPROACHES OF TEXT EXTRACTION IN IMAGES. Author based on morphological operators, wavelet transform, artificial neural network,skeletonization operation,edge detection algorithm, histogram technique etc. All these techniques have their benefits and restrictions. This article discusses various schemes proposed earlier for extracting the text from an image. This paper also provides the performance comparison of several existing methods proposed by researchers in extracting the text from an image.-In Year 2012, C.P. Sumathi performed a work," A SURVEY ON VARIOUS APPROACHES OF TEXT EXTRACTION IN IMAGES. Author based on morphological operators, wavelet transform, artificial neural network,skeletonization operation,edge detection algorithm, histogram technique etc. All these techniques have their benefits and restrictions. This article discusses various schemes proposed earlier for extracting the text from an image. This paper also provides the performance comparison of several existing methods proposed by researchers in extracting the text from an image. Platform: |
Size: 435200 |
Author:payal |
Hits:
Description: 本程序是运用脉冲耦合神经网络（PCNN）算法进行图像分割的一个实例。基于PCNN的图像分割是一种图像像素相似度临近相似性的图像分割方法，已被广泛应用于图像平滑，分割及边缘检测等图像处理领域。-This program is an instance of the algorithm for image segmentation using pulse coupled neural network (PCNN). PCNN-based segmentation of an image pixel similarity near the the similarity image segmentation method has been widely used in image smoothing, segmentation and edge detection image processing applications. Platform: |
Size: 17408 |
Author:guocheng |
Hits:
Description: 指出了传统边缘检测算子算法的不足,提出了一种利用基于BP神经网络的数字图像边缘检
测算法,即利用传统边缘检测算子检测出来的图像中像素的灰度的不同比例作为学习训练图像,进行神经网络的学习训练,改变神经网络的结构参数得到神经网络的模型参数,最后给出了BP神经网络实现图像边缘检测的实验研究结果。从实现中可发现,将人们关于边缘特征的先验知识包含在内进行数字图像的边缘检测,能够取得比较好的效果-The paper points out the limitation of the traditional algorithm and introduces a new algorithm of edge detection algorithm based on BP neural networks indigital image Platform: |
Size: 279552 |
Author:张倩 |
Hits:
Search - edge detection neural network