Description: 两篇人脸检测的英文论文，是花钱买的哦，英文描述中是一篇文章的英文摘要！-Face and facial feature detection plays an important role in various applications such as human computer interaction, video surveillance,
face tracking, and face recognition. Efficient face and facial feature detection algorithms are required for applying to those tasks.
This paper presents the algorithms for all types of face images in the presence of several image conditions. There are two main stages. In
the first stage, the faces are detected from an original image by using Canny edge detection and our proposed average face templates.
Second, a proposed neural visual model (NVM) is used to recognize all possibilities of facial feature positions. Input parameters are
obtained from the positions of facial features and the face characteristics that are low sensitive to intensity change. Finally, to improve
the results, image dilation is applied for removing some irrelevant regions. Additionally, the algorithms can be extended to rotational
invariance problem by using Radon tran Platform: |
Size: 3771392 |
Author:刘宋 |
Hits:
Description: 在对图像进行Gabor变换后使用BP神经网络进行人脸检测的MATLAB程序-Gabor transform in the image using BP neural network after the face detection process MATLAB program Platform: |
Size: 15183872 |
Author:lilei |
Hits:
Description: 车牌识别源代码是专为从事车牌识别软件产品开发的客户而设计的软件开发包。采用国际领先的计算机视觉和图像处理算法，结合国际领先的神经网络算法，我司车牌识别采用模块的方式提供车牌识别功能的软件。具有高速的识别速度和可信识别正确率,以减轻各开发商的开发成本，提高其竞争力。适用于城市交通管理、超速监控、公路收费、停车场管理、被盗车辆侦破、等应用开发。-License plate recognition source code is designed to be engaged in the license plate recognition software product development customer and design software development kit. Using international leader in computer vision and image processing algorithm, combined with the world s leading neural network algorithm, I Division of license plate recognition using module provided in the form of license plate recognition software. High speed recognition speed and credible recognition correct rate, in order to reduce the development costs for developers, improve their competitiveness. Applied to the city traffic management, overspeed monitoring, highway collects fees, parking management, stolen vehicle detection, application development and other.
Platform: |
Size: 2797568 |
Author:王振 |
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: ace Detection Program for MATLAB 2013a
using Gabor Feature Extraction and Neural Networks
----------------------------------------------------------------
1- copy all files and directories to the MATLAB s work folder
* In order to run the program you must have Image Processing and Neural Networks Toolboxes
2- (Important) Navigate to the root folder which contains "main.m".
3- Type "main" or "run main" in the command window
4. Only fort the first time, the program creates
Gabor filters and stores them in ./data/gabor.mat
Training set dataset and stores it in ./data/imgdb.mat
Neural Network and stores it in ./data/net.mat
5- imgdb is short for "image data base".
6- When the program menu appears click on "Train Network" and wait until the program is
done with the training-ace Detection Program for MATLAB 2013a
using Gabor Feature Extraction and Neural Networks
----------------------------------------------------------------
1- copy all files and directories to the MATLAB s work folder
* In order to run the program you must have Image Processing and Neural Networks Toolboxes
2- (Important) Navigate to the root folder which contains "main.m".
3- Type "main" or "run main" in the command window
4. Only fort the first time, the program creates
Gabor filters and stores them in ./data/gabor.mat
Training set dataset and stores it in ./data/imgdb.mat
Neural Network and stores it in ./data/net.mat
5- imgdb is short for "image data base".
6- When the program menu appears click on "Train Network" and wait until the program is
done with the training Platform: |
Size: 180224 |
Author:manu |
Hits:
Description: 提出了一种复杂背景下的多车牌图像分割和识别方法，首先采用统计和特征匹配相结合的方法进行背景提取，将可能存在车辆的区域提取出来；然后分别对可能的车辆区域进行局部边缘检测，并使用车牌的先验知识确定车牌的位置和单个字符分割，包括车牌倾斜时的字符分割；最后使用PCA和神经网络相结合的方法精确识别车牌。-Proposed a multi-plate image segmentation and recognition method under a complex background, the first use of statistics and feature matching method of combining background extraction, there may be extracted from the area of the vehicle then were on the vehicle may be partial edge detection area and use prior knowledge to determine the location and the individual license plate character segmentation, including the license plate character segmentation when tilted Finally PCA and neural network using a combination of methods to accurately identify the license plate. Platform: |
Size: 709632 |
Author:曹静 |
Hits:
Description: 使用拉亚普诺夫指数的公式，在MATLAB中求图像纹理特征，是一种双隐层反向传播神经网络，现代信号处理中谱估计在matlab中的使用，通过虚拟阵元进行DOA估计，含噪脉冲信号进行相关检测,有小波分析的盲信号处理，D-S证据理论数据融合。- Raya Punuo Fu index using the formula, In the MATLAB image texture feature, Is a two hidden layer back propagation neural network, Modern signal processing used in the spectral estimation in matlab, Conducted through virtual array DOA estimation, Noisy pulse correlation detection signal, There Wavelet Analysis Blind Signal Processing, D-S evidence theory data fusion. Platform: |
Size: 5120 |
Author:gzfcg |
Hits:
Description: 提出一种新的显着性检测方法，通过将区域级显着性估计和像素级显着性预测与CNN（表示为CRPSD）相结合。对于像素级显着性预测，通过修改VGGNet体系结构来执行完全卷积神经网络（称为像素级CNN）以执行多尺度特征学习，基于该学习进行图像到图像预测以完成像素级显着性检测。对于区域级显着性估计，首先设计基于自适应超像素的区域生成技术以将图像分割成区域，基于该区域通过使用CNN模型（称为区域级CNN）来估计区域级显着性。通过使用另一CNN（称为融合CNN）融合像素级和区域级显着性以形成nal显着图，并且联合学习像素级CNN和融合CNN。对四个公共基准数据集的大量定量和定性实验表明，所提出的方法大大优于最先进的显着性检测方法。-A new saliency detection method by significant regional level estimates and forecast significant pixel level and CNN (expressed as CRPSD) combined. For pixel-level significant prediction to perform a full convolution neural network by modifying VGGNet architecture (called pixel-level CNN) learning to perform multi-scale features, image to image prediction to complete the pixel level detection based on the significant learning . For regional levels significantly estimate, the first generation technology to design image is divided into regions based on adaptive super-pixel area, based on the model of the region through the use of CNN (CNN called regional level) to estimate regional levels significantly. By using another CNN (CNN called fusion) Fusion pixel level and regional level to form nal significant saliency map, and the Joint Learning pixel level fusion CNN and CNN. Four common reference data set of a large number of quantitative and qualitative experiments show that the proposed m Platform: |
Size: 4427776 |
Author:祖祖- |
Hits:
Description: 神经网络引入后，检测框架变得更快更准确。然而，大多数检测方法受限于少量物体。检测和训练数据上联合训练物体检测器，用有标签的检测图像来学习精确定位，同时用分类图像来增加词汇和鲁棒性。原YOLO系统上生成YOLOv2检测器；在ImageNet中超过9000类的数据和COCO的检测数据上，合并数据集和联合训练YOLO9-After the neural network is introduced, it is becoming faster and more accurate detection frame. However, most detection methods is limited by the small number of objects. Testing and training on joint training data object detector for detecting an image tag to learn precise positioning, while using image classification to increase vocabulary and robustness. YOLOv2 detector generates the original YOLO system ImageNet more than in the 9000 class of data and test data COCO, the consolidated data sets and joint training YOLO9000 Platform: |
Size: 2150400 |
Author:安宁 |
Hits:
Description: Melanoma is one of the deadly diseases among skin
cancer. Melanoma detection can be done by dermatological
screening and biopsy tests which are time consuming and
expensive that requires experts from medical field. Due to cost of
dermatologist to screen every patient, an automated system is
needed for melanoma detection so that death rates can be
minimized if detected early. It can be done using various image
processing techniques. An important step in the automated
system of melanoma detection is the segmentation process which
locates the border of skin lesion in order to separate the lesion
part from background skin for further feature extraction. Platform: |
Size: 2911232 |
Author:Deep123
|
Hits:
Description: Weed detection of squash using a combination of image processing and self-organized neural network Platform: |
Size: 493568 |
Author:saeedi
|
Hits:
Search - image detection using neural