Proceedings of the 2019 2nd International Conference on Watermarking and Image Processing最新文献

Image Steganography Based on Local Variance 基于局部方差的图像隐写

Proceedings of the 2019 2nd International Conference on Watermarking and Image Processing Pub Date : 2019-09-18 DOI: 10.1145/3369973.3369982

O. Hadar, Adiel Sol, Or Hamra, A. Shmilovici

引用次数: 0

Glaucoma Detection from Retinal Images using Generic Features: Analysis & Results 利用视网膜图像的一般特征检测青光眼:分析与结果

Proceedings of the 2019 2nd International Conference on Watermarking and Image Processing Pub Date : 2019-09-18 DOI: 10.1145/3369973.3369976

Mennato-Allah Talaat, Nataly Raed, Aya Medhat, Romisaa Ashraf, Mohammad Essam, Rana Y. ElKashlan, Lamiaa Abdel-Hamid

{"title":"Glaucoma Detection from Retinal Images using Generic Features: Analysis & Results","authors":"Mennato-Allah Talaat, Nataly Raed, Aya Medhat, Romisaa Ashraf, Mohammad Essam, Rana Y. ElKashlan, Lamiaa Abdel-Hamid","doi":"10.1145/3369973.3369976","DOIUrl":"https://doi.org/10.1145/3369973.3369976","url":null,"abstract":"Glaucoma is a silent disease that, left untreated, causes severe visual impairments which can progress to irreversible blindness. Fortunately, early detection and proper treatment can control the development of glaucoma and in turn limit further progression of associated visual impairments. However, periodic manual diagnosis of glaucoma necessary for its early diagnosis would require abundancy of experts, besides being invasive, expensive, and time consuming. Computer aided diagnosis (CAD) can thus serve as a game changer in the early detection of glaucoma by bringing clinician to the level of an expert. Moreover, CAD has the advantages of being non-invasive, simple, and cost effective. In this work, an automated generic glaucoma detection algorithm is presented in which statistical and textural features are computed from the optic nerve head (ONH) region within retinal images. Several analyses are performed to compare glaucoma classification performance considering different contrast enhancement techniques (histogram equalization - contrast limited adaptive histogram equalization) and color models (RGB - HSV - CIELAB). Feature selection is then used to find the best set of features for each of the different experiments. Best performance was achieved when textural features were computed from the histogram equalized CIELAB channels, resulting in an accuracy of 92.5%, sensitivity of 95.0%, and specificity of 90.0% considering a public dataset consisting of 40 glaucomatous and 40 healthy retinal images.","PeriodicalId":197888,"journal":{"name":"Proceedings of the 2019 2nd International Conference on Watermarking and Image Processing","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116576090","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

Reduction of Phase Error Caused by Overexposure in Phase Measurement Profilometry 相位测量轮廓术中过度曝光引起的相位误差的减小

Proceedings of the 2019 2nd International Conference on Watermarking and Image Processing Pub Date : 2019-09-18 DOI: 10.1145/3369973.3369978

Min Qi, Yu Gao, Huiqing Zheng, Yuelei Xu

引用次数: 0

Assessment of Finger Geometry Features for Multibiometric Authentication 多生物特征认证中手指几何特征的评估

Proceedings of the 2019 2nd International Conference on Watermarking and Image Processing Pub Date : 2019-09-18 DOI: 10.1145/3369973.3369974

F. Bahmed, Madani Ould Mammar

引用次数: 1

Target Periodicity Estimation Based on Time Domain Analysis 基于时域分析的目标周期估计

Proceedings of the 2019 2nd International Conference on Watermarking and Image Processing Pub Date : 2019-09-18 DOI: 10.1145/3369973.3369975

Cheng Yu, Liu Shufang, L. Lijun

引用次数: 0

Automated Identification of Diabetic Retinopathy using Pixel-based Segmentation Approach 基于像素分割的糖尿病视网膜病变自动识别方法

Proceedings of the 2019 2nd International Conference on Watermarking and Image Processing Pub Date : 2019-09-18 DOI: 10.1145/3369973.3369979

Mohammad T. Al-Antary, M. Hassouna, Y. Arafa, Rakan Khalifah

引用次数: 4

3D Vehicle Detection on an FPGA from LiDAR Point Clouds 基于FPGA的激光雷达点云三维车辆检测

Proceedings of the 2019 2nd International Conference on Watermarking and Image Processing Pub Date : 2019-09-18 DOI: 10.1145/3369973.3369984

Javier García López, Antonio Agudo, F. Moreno-Noguer

{"title":"3D Vehicle Detection on an FPGA from LiDAR Point Clouds","authors":"Javier García López, Antonio Agudo, F. Moreno-Noguer","doi":"10.1145/3369973.3369984","DOIUrl":"https://doi.org/10.1145/3369973.3369984","url":null,"abstract":"In this paper is presented a deep neural network architec- ture designed to run on a field-programmable gate array (FPGA) for detection vehicle on LIDAR point clouds. This works present a network based on VoxelNet adapted to run on an FPGA and to locate vehicles on point clouds from a 32 and a 64 channel optical sensor. For training the pre- sented network the Kitti and Nuscenes dataset have been used. This work aims to motivate the usage of dedicated FPGA targets for training and validating neural network due to their accelerated computational capability compared to the well known GPUs. This platform also has some constraints that need to be assessed and taken care during development (limited memory e.g.). This research presents an implementation to overcome such limitations and obtain as good results as if a GPU would be used. This paper makes use of a state-of-the-art dataset such us Nuscenes which is formed by several sensors and provides seven time more annotations than the KITTI dataset of the 6 cameras, 5 radars and 1 Lidar it is formed by, all with full 360 degree field of view. The presented work proves real- time performance and good detection accuracy when moving part of the CNN presented in the proposed architecture to a commercial FPGA.","PeriodicalId":197888,"journal":{"name":"Proceedings of the 2019 2nd International Conference on Watermarking and Image Processing","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125080088","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: 4

Underwater Exploration Issues, Deep Study on Optical Underwater Vision for an Effective Traditional Fishing 水下探测问题，有效传统捕鱼的光学水下视觉深度研究

Proceedings of the 2019 2nd International Conference on Watermarking and Image Processing Pub Date : 2019-09-18 DOI: 10.1145/3369973.3369981

Mohcine Boudhane, O. Balcers, B. Nsiri

引用次数: 1

A New Approach for Distorted Image Restoration By Distance-based Correction and Cubic Spline Interpolation 基于距离校正和三次样条插值的畸变图像恢复新方法

Proceedings of the 2019 2nd International Conference on Watermarking and Image Processing Pub Date : 2019-09-18 DOI: 10.1145/3369973.3369977

Min Qi, Guanrong Yu, Yuelei Xu

引用次数: 1

Minimum-Energy Group Scaling of Wavelet Coefficient Quantization for Audio Watermarking 小波系数量化的最小能量组缩放音频水印

Proceedings of the 2019 2nd International Conference on Watermarking and Image Processing Pub Date : 2019-09-18 DOI: 10.1145/3369973.3369983

Shuo-Tsung Chen, Chih-Yu Hsu, Huang-Nan Huang, Shu-Yi Tu, Jun-Jin Xie

引用次数: 0