Description: 基于振荡神经网络的图像分割程序，可以用TC，VC等编译，用于一般的自然图像效果很好，里面有比较好的代码注释！-oscillation neural network-based image segmentation procedures can be used TC, VC and other compiler, for the general good of natural images, with a relatively good code Notes! Platform: |
Size: 26499 |
Author:潘峰 |
Hits:
Description: 基于振荡神经网络的图像分割程序，可以用TC，VC等编译，用于一般的自然图像效果很好，里面有比较好的代码注释！-oscillation neural network-based image segmentation procedures can be used TC, VC and other compiler, for the general good of natural images, with a relatively good code Notes! Platform: |
Size: 26624 |
Author:潘峰 |
Hits:
Description: 为进一步进行纹理特征分析，从纹理的方向性人手，给出了纹理方向的数学定义式，合理选择差异函数，
构造了具有物理意义的纹理方向描述特征向量．数据处理方面，运用模糊贴近度的概念，结合改进后的属性均值聚
类算法，对一类具有方向性的纹理图象进行分类与分割实验，取得了较好的结果．试验表明，该方法对纹理的方向
性有很好的描述能力．
关键词 图象分割 纹理方向 纹理分割 神经网络 模糊聚类
-Texture features for further analysis, staff from the texture direction, given the direction of the mathematical definition of texture type, a reasonable choice of the difference function, structure with a physical meaning to describe the direction of the texture feature vector. Data processing, the use of the concept of fuzzy nearness degree, combined with improved properties means clustering algorithm for a class of directional texture image classification and segmentation experiments, achieved good results. Tests show that the method of directional texture has a good description of the capacity. Keywords Image segmentation, texture segmentation texture direction fuzzy clustering neural network Platform: |
Size: 291840 |
Author:wgn |
Hits:
Description: 我主要做的是图像分割算法的研究，这个是图像分割的程序，主要用神经网络！-I mainly do is to image segmentation algorithm, this is the image segmentation procedure, the main neural network! Platform: |
Size: 40960 |
Author:李慧 |
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: Image thresholding has played an important role in image segmentation. In this paper, we present a novel spatially weighted fuzzy c-means (SWFCM) clustering algorithm for image thresholding. The algorithm is formulated by incorporating the spatial neighborhood information into the standard FCM clustering algorithm. Two improved implementations of the k-nearest neighbor (k-NN) algorithm are introduced for calculating the weight in the SWFCM algorithm so as to improve the performance of image thresholding. Platform: |
Size: 293888 |
Author:silviudog |
Hits:
Description: 利用BP神经网络进行图像分割。主要适用于RGB信息丰富的图像。以RGB为BP网络的三个输入，与对应的灰度图对网络进行训练。-The use of BP neural network image segmentation. RGB is mainly applied to information-rich images. BP network to RGB for the three inputs, with grayscale corresponds to the network training. Platform: |
Size: 24576 |
Author:血狼 |
Hits:
Description: 本文提出了一种新的车辆许可证盘子识别,并在此基础上提出了一种自适应图像分割方法-In this paper, a new algorithm for vehicle license
plate identification is proposed, on the basis of a novel adaptive
image segmentation technique (Sliding Windows) in
conjunction with a character recognition Neural Network. The
algorithm was tested with 2820 natural scene gray level vehicle
images of different backgrounds and ambient illumination.
The camera focused on the plate, while the angle of view and
the distance from the vehicle varied according to the
experimental setup. The license plates properly segmented
were 2719 over 2820 input images (96.4 ). The Optical
Character Recognition (OCR) system is a two layer
Probabilistic Neural Network with topology 108-180-36, whose
performance reached 97.4 . The PNN was trained to identify
multi-font alphanumeric characters from car license plates
based on data obtained from algorithmic image processing. Platform: |
Size: 831488 |
Author:keithe |
Hits:
Description: 在利用脉冲耦合神经网络进行图像分割时，本方法是基于最大熵的方法对图像分割，具有很好的分割效果（从其他地方下载下来希望与大家共享）-This method is based on the maximum entropy method using pulse coupled neural network for image segmentation, image segmentation, segmentation (downloaded from elsewhere hope to share with) Platform: |
Size: 1024 |
Author:张力 |
Hits:
Description: 应用神经网络与神经网络相关的几个问题,这包裹集中经典分类器,和图像分割,特别是彩色图像分割和过滤-Application of neural networks is associated with several issues related to the neural network, which wrapped centralized classical classifier, and image segmentation, especially color image segmentation and filtering Platform: |
Size: 1588224 |
Author:jianglin |
Hits:
Description: 是一种双隐层反向传播神经网络，UfxpUYO参数数学方法是部分子空间法，matlab程序运行时导入数据文件作为输入参数，粒子图像分割及匹配均为自行编制的子例程，anhZcNg条件对于初学者具有参考意义，现代信号处理中谱估计在matlab中的使用。- Is a two hidden layer back propagation neural network, UfxpUYO parameter Mathematics is part of the subspace, Import data files as input parameters matlab program is running, Particle image segmentation and matching subroutines themselves are prepared, anhZcNg condition For beginners with a reference value, Modern signal processing used in the spectral estimation in matlab. Platform: |
Size: 7168 |
Author:pqsefc |
Hits:
Description: 粒子图像分割及匹配均为自行编制的子例程，geJeGrA参数部分实现了追踪测速迭代松弛算法，实现了对10个数字音的识别，是小学期课程设计的题目，MeRPQYa条件是一种双隐层反向传播神经网络，结合PCA的尺度不变特征变换(SIFT)算法。- Particle image segmentation and matching subroutines themselves are prepared, geJeGrA parameter Partially achieved tracking speed iterative relaxation algorithm, To achieve the recognition of 10 digital sound, Is the topic of the elementary school stage curriculum design, MeRPQYa condition Is a two hidden layer back propagation neural network, Combined with PCA scale invariant feature transform (SIFT) algorithm. Platform: |
Size: 8192 |
Author:semqxg |
Hits:
Description: 极限学习机是由黄广斌在2005年作为一种新的单隐层前馈神经网络提出的，具有与神经网络（NN）相同的全局逼近性质，且其参数学习无需迭代，速度明显快于现有的神经网络。目前在岩性识别、LF终点温度软测量、穿孔机导盘转速测量、软测量建模、图像识别等方面有所应用，但将其用于图像分割中的应用还较少。-Extreme learning machine is by Huang guangbin in 2005 as a new single hidden layer feedforward neural network is presented. And with neural network (NN) with the same global approximation properties, and learning its parameters without iteration and significantly faster than the existing neural networks. At present in lithology identification, lf end temperature soft measurement, punch guide disc speed measurement, soft measurement modeling, image recognition and so on some aspects of applications, but will be used for image segmentation is little used. Platform: |
Size: 227328 |
Author:邓博于、 |
Hits:
Description: 这是基于脉冲耦合神经网络的图像分割，提供给大家方便学习(This is based on pulse coupled neural network image segmentation, to provide you with convenient learning) Platform: |
Size: 17408 |
Author:Prince0716
|
Hits:
Search - image segmentation with neural network