2017 2nd International Conference on Image, Vision and Computing (ICIVC)最新文献_第7页

FM0 decode for collided RFID tag signals with frequency drift 具有频率漂移的RFID标签碰撞信号的FM0解码

2017 2nd International Conference on Image, Vision and Computing (ICIVC) Pub Date : 2017-06-01 DOI: 10.1109/ICIVC.2017.7984693

Junzhi Li, Haifeng Wu, Yu Zeng, Yong Shen

引用次数: 1

An improved single image defogging method based on Retinex 一种改进的基于Retinex的单幅图像去雾方法

2017 2nd International Conference on Image, Vision and Computing (ICIVC) Pub Date : 2017-06-01 DOI: 10.1109/ICIVC.2017.7984588

Tanghuai Fan, Changli Li, Xiao Ma, Zhe Chen, Xuan Zhang, Lin Chen

引用次数: 25

Research on the identification method of micro assembly part 微装配件识别方法研究

2017 2nd International Conference on Image, Vision and Computing (ICIVC) Pub Date : 2017-06-01 DOI: 10.1109/ICIVC.2017.7984564

Jia-yi Zhang, S. Xu, Yang Liu, Yong-ping Hao

引用次数: 1

Computational comparison of GRASP and DCTSP methods for the Traveling Salesman Problem 旅行商问题的GRASP和DCTSP方法的计算比较

2017 2nd International Conference on Image, Vision and Computing (ICIVC) Pub Date : 2017-06-01 DOI: 10.1109/ICIVC.2017.7984713

Mingkang Zhu, Jianli Chen

引用次数: 2

Holistic Vertical Regional Proposal Network for scene text detection 场景文本检测的整体垂直区域建议网络

2017 2nd International Conference on Image, Vision and Computing (ICIVC) Pub Date : 2017-06-01 DOI: 10.1109/ICIVC.2017.7984521

Xu Chen, Qiang Guo, Shuohao Li, Jun Zhang

{"title":"Holistic Vertical Regional Proposal Network for scene text detection","authors":"Xu Chen, Qiang Guo, Shuohao Li, Jun Zhang","doi":"10.1109/ICIVC.2017.7984521","DOIUrl":"https://doi.org/10.1109/ICIVC.2017.7984521","url":null,"abstract":"Scene text detection is an important research problem in computer vision community. It has great application value in many fields. Inspired by Faster-RCNN which is a popular method for object detection, we consider to apply the Regional Proposal Network (RPN) method for scene text detection because text can be regarded as the common object. The core of RPN is to detect different sizes of objects with different sizes of anchors. However, when the RPN is applied directly, it is difficult to design many different scale anchors to meet the requirements of different sizes of text boxes. For the above reasons, we adjust the anchor settings and take advantage of vertical anchor to break the restrictions of receptive field. In addition, we refer to the multi-scale network Holistically-Nested Edge Detection (HED) which produce side-output results at different steps of the neural network. The bottom layers have a smaller receptive field, which represent the features of small text area in image. The receptive field of the high-level side-outputs is larger, and it can handle the large-size text area better. We combine the advantages of RPN and HED methods and propose a Holistic Vertical Proposal Regional Network (HVRPN) for scene text detection, and our model shows good results in ICDAR03 and ICDAR11.","PeriodicalId":181522,"journal":{"name":"2017 2nd International Conference on Image, Vision and Computing (ICIVC)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130004561","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

yBRIEF: A study of non-Gaussian Binary Elementary Features 非高斯二元初等特征的研究

2017 2nd International Conference on Image, Vision and Computing (ICIVC) Pub Date : 2017-06-01 DOI: 10.1109/ICIVC.2017.7984524

Jian-Feng Shi, S. Ulrich, S. Ruel

引用次数: 1

Defect inspection of medicine vials using LBP features and SVM classifier 基于LBP特征和SVM分类器的药瓶缺陷检测

2017 2nd International Conference on Image, Vision and Computing (ICIVC) Pub Date : 2017-06-01 DOI: 10.1109/ICIVC.2017.7984515

Yuhuan Liu, Shengyong Chen, Tinglong Tang, Meng Zhao

{"title":"Defect inspection of medicine vials using LBP features and SVM classifier","authors":"Yuhuan Liu, Shengyong Chen, Tinglong Tang, Meng Zhao","doi":"10.1109/ICIVC.2017.7984515","DOIUrl":"https://doi.org/10.1109/ICIVC.2017.7984515","url":null,"abstract":"During the pharmaceutical process, it is inevitable that various defects emerge in the medicine vials which may greatly affect the product quality and reduce the productive efficiency. To address these problems, a method based on feature extraction and machine learning is developed for vial defect inspection. On image preprocessing, we used threshold algorithm to acquire the region of interest (ROI) which is comprised of some small patches obtained through image blocking, exhibiting favorable performances compared to some existing image segmentation methods. In the following computational framework, the LBP descriptors are firstly extracted in the ROI followed by the generation of visual dictionaries through the application of k-means clustering. Since the visual dictionaries can essentially represent the image, we finally employ the support vector machine (SVM) classifier to inspect whether the vials are with flaws. In the procedure of feature extraction, experiments show that the LBP yields superior performances, with (maximum recognition efficiency is about 90%) compared to the others, owing to the extraction of exact texture features.","PeriodicalId":181522,"journal":{"name":"2017 2nd International Conference on Image, Vision and Computing (ICIVC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129264130","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Video watermarking algorithm based DC coefficient 基于DC系数的视频水印算法

2017 2nd International Conference on Image, Vision and Computing (ICIVC) Pub Date : 2017-06-01 DOI: 10.1109/ICIVC.2017.7984597

Jianfei Li, Yongbin Wang, Shu-min Dong

引用次数: 8

A load balanced mapping for spiking neural network 尖峰神经网络的负载均衡映射

2017 2nd International Conference on Image, Vision and Computing (ICIVC) Pub Date : 2017-06-01 DOI: 10.1109/ICIVC.2017.7984684

Yande Xiang, J. Meng, De Ma

引用次数: 1

Hyperspectral image classification based on Gabor features and decision fusion 基于Gabor特征和决策融合的高光谱图像分类

2017 2nd International Conference on Image, Vision and Computing (ICIVC) Pub Date : 2017-06-01 DOI: 10.1109/ICIVC.2017.7984602

Zhen Ye, Lin Bai, Li-ling Tan

引用次数: 4