International Conference on Signal Processing Systems最新文献_第5页

GDN: a stacking network used for skin cancer diagnosis GDN:用于皮肤癌诊断的堆叠网络

International Conference on Signal Processing Systems Pub Date : 2022-05-01 DOI: 10.1117/12.2631455

Jingmin Wei, Haoyang Shen, Ziyi Wang, Ziqian Zhang

{"title":"GDN: a stacking network used for skin cancer diagnosis","authors":"Jingmin Wei, Haoyang Shen, Ziyi Wang, Ziqian Zhang","doi":"10.1117/12.2631455","DOIUrl":"https://doi.org/10.1117/12.2631455","url":null,"abstract":"Skin cancer, the primary type of cancer that can be identified by visual recognition, requires an automatic identification system that can accurately classify different types of lesions. This paper presents GoogLe-Dense Network (GDN), which is an image-classification model to identify two types of skin cancer, Basal Cell Carcinoma, and Melanoma. GDN uses stacking of different networks to enhance the model performance. Specifically, GDN consists of two sequential levels in its structure. The first level performs basic classification tasks accomplished by GoogLeNet and DenseNet, which are trained in parallel to enhance efficiency. To avoid low accuracy and long training time, the second level takes the output of the GoogLeNet and DenseNet as the input for a logistic regression model. We compare our method with four baseline networks including ResNet, VGGNet, DenseNet, and GoogLeNet on the dataset, in which GoogLeNet and DenseNet significantly outperform ResNet and VGGNet. In the second level, different stacking methods such as perceptron, logistic regression, SVM, decision trees and K-neighbor are studied in which Logistic Regression shows the best prediction result among all. The results proves that GDN, compared to a single network structure, has higher accuracy in optimizing skin cancer detection.","PeriodicalId":415097,"journal":{"name":"International Conference on Signal Processing Systems","volume":"12171 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129823159","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: 0

Research on the scale effect of multistatic sonar 多声纳的尺度效应研究

International Conference on Signal Processing Systems Pub Date : 2022-05-01 DOI: 10.1117/12.2631572

Luying Long, Di Li

引用次数: 0

Enhanced multi-stage network for defocus deblurring using dual-pixel images 增强的多级网络散焦去模糊使用双像素图像

International Conference on Signal Processing Systems Pub Date : 2022-05-01 DOI: 10.1117/12.2631460

Ru Li, Junwei Xie, Yuyang Xue, Wenbin Zou, T. Tong, M. Luo, Qinquan Gao

{"title":"Enhanced multi-stage network for defocus deblurring using dual-pixel images","authors":"Ru Li, Junwei Xie, Yuyang Xue, Wenbin Zou, T. Tong, M. Luo, Qinquan Gao","doi":"10.1117/12.2631460","DOIUrl":"https://doi.org/10.1117/12.2631460","url":null,"abstract":"The defocus deblurring raised from the finite aperture size and exposure time is an essential problem in the shooting process, which seriously affects the quality of the images. However, studies based on defocus deblurring in monocular images yielded good results, while those on binocular images are rare. The current methods directly merge the left and right views regardless of their unique features. Objects within the camera’s DoF will not have a difference in phase, while light rays from outside the DoF will have a relative shift that is directly correlated with the amount of defocus blur. In this paper, we firstly proposed an enhanced multi-stage network for defocus deblurring using dual-pixel Images. Taking into account the parallax between the left and right views, the first two stages learn the information of them, respectively, and correct the deviation of the images under the supervision of the ground truth. The third stage consists of EERG and ERGS. It merges with the feature map of the previous stage, so that the left and right views are mutually enhanced, and a good restored image is obtained. ERGS uses the residual block as the basic unit to restore the details of the blurred area while maintaining the clear. Experimental results show that our proposed network can achieve better accuracy than state-of-the-art approaches on the public DPD dataset.","PeriodicalId":415097,"journal":{"name":"International Conference on Signal Processing Systems","volume":"168 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132814754","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

Enhanced minimum description length CFAR based on median absolute deviation 基于中位数绝对偏差的增强型最小描述长度CFAR

International Conference on Signal Processing Systems Pub Date : 2022-05-01 DOI: 10.1117/12.2631490

Jinwei Gu, Renhong Xie, Yu You, Teng Wang, Peng Li, Yibin Rui

引用次数: 0

Research and progress of intelligent mattress in smart elderly care 智能床垫在智慧养老中的研究与进展

International Conference on Signal Processing Systems Pub Date : 2022-05-01 DOI: 10.1117/12.2631448

Q. Zhan, Dandan Wu, Jiajun Ma, Guangjie Li, Xiong Wei, Jiancun Zuo, Xu Wang

引用次数: 0

Classification model of optical character recognition failures in unrecovered slider serial numbers in hard disk drive manufacturing and image capture processes 硬盘制造和图像捕获过程中未恢复滑块序列号光学字符识别故障的分类模型

International Conference on Signal Processing Systems Pub Date : 2022-05-01 DOI: 10.1117/12.2631362

C. Chousangsuntorn, T. Tongloy, S. Chuwongin, S. Boonsang

引用次数: 0

Mixture correntropy unscented Kalman filter for power system dynamic state estimation 混合熵无嗅卡尔曼滤波用于电力系统动态状态估计

International Conference on Signal Processing Systems Pub Date : 2022-05-01 DOI: 10.1117/12.2631436

Boyu Tian, Haiquan Zhao

引用次数: 0

DSP implementation of signal processing for two-dimensional (2-D) phased array digital multi-beam system DSP实现二维(2-D)相控阵数字多波束系统的信号处理

International Conference on Signal Processing Systems Pub Date : 2022-05-01 DOI: 10.1117/12.2631458

D. Sun, Pengcheng Li, Teng Wang, Jingwei Hu, Renhong Xie, Yibin Rui

引用次数: 0

Digital watermarking and tamper detection in speech signal using blind detection 基于盲检测的语音信号数字水印与篡改检测

International Conference on Signal Processing Systems Pub Date : 2022-05-01 DOI: 10.1117/12.2631575

Sharvari ., Vaishnavi D V, D. R, Shikha Tripatha

{"title":"Digital watermarking and tamper detection in speech signal using blind detection","authors":"Sharvari ., Vaishnavi D V, D. R, Shikha Tripatha","doi":"10.1117/12.2631575","DOIUrl":"https://doi.org/10.1117/12.2631575","url":null,"abstract":"Advancement of digital signal processing and networking has raised many security and copyright concerns, thus it is very important to protect the authentication of digital data. In this work, an audio watermarking algorithm has been proposed which can be efficiently used for tamper detection and is also robust against reasonable attacks. Also, the watermarks are inaudible. The proposed algorithm can easily detect tampering as the watermarks are embedded at each frame without causing any audio degradation. In the proposed technique, first the audio signal is compressed using Graph Based Transform (GBT), for which watermarks are embedded into Line Spectral coefficients (LSFs) that are derived from linear prediction (LP) analysis with dither modulation-quantization index modulation (DM-QIM). Watermarks thus embedded in all frames are not only inaudible to the Human auditory system but also potentially provide robustness against meaningful attacks. This work also focuses on Blind tamper detection which is made effortless due to the proposed embedding algorithm. To measure the robustness of the algorithm, general processing of watermarked signals was done along with fragility testing. Quality of the audio was measured using Perceptual Evaluation of Speech Quality (PESQ) and Short-time objective intelligibility (STOI). The maximum PESQ score and STOI score of 2.8781 and 0.8150 respectively was observed without any attack on the audio signal. Tamper detection and quality measurement are the major contributions of this work. Detailed metric evaluation for attacks such as Scaling, Resampling, Filtering, Compression and Addition of White Gaussian noise (AWGN) has been computed and compared. The proposed technique makes tamper identification easier and gives framewise security.","PeriodicalId":415097,"journal":{"name":"International Conference on Signal Processing Systems","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129736006","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

Filtered-s normalized maximum mixture correntropy criterion algorithm for nonlinear active noise control 非线性主动噪声控制的滤波归一化最大混合熵准则算法

International Conference on Signal Processing Systems Pub Date : 2021-01-20 DOI: 10.1117/12.2589324

Pucha Song, Haiquan Zhao, Yingying Zhu

引用次数: 2