The Imaging Science Journal最新文献_第9页

A gravity inspired clustering algorithm for gene selection from high-dimensional microarray data 高维微阵列数据基因选择的重力启发聚类算法

The Imaging Science Journal Pub Date : 2023-05-07 DOI: 10.1080/13682199.2023.2207277

P. Jayashree, V. Brindha, P. Karthik

引用次数: 0

Deep convolutional neural network-based effective model for 2D ear recognition using data augmentation 基于深度卷积神经网络的数据增强二维耳识别有效模型

The Imaging Science Journal Pub Date : 2023-05-04 DOI: 10.1080/13682199.2023.2206763

Ravishankar Mehta, K. K. Singh

{"title":"Deep convolutional neural network-based effective model for 2D ear recognition using data augmentation","authors":"Ravishankar Mehta, K. K. Singh","doi":"10.1080/13682199.2023.2206763","DOIUrl":"https://doi.org/10.1080/13682199.2023.2206763","url":null,"abstract":"In the pandemic of COVID-19, identifying a person from their face became difficult due to wearing of mask. In regard to the given circumstances, the authors have remarkably put effort on identifying a person using 2D ear images based on deep convolutional neural network (CNNs). They investigated the challenges of limited data and varying environmental conditions in this regards. To deal with such challenges, the authors developed an augmentation-based light-weight CNN model using CPU enabled machine so that it can be ported into embedded devices. While applying data augmentation technique to enhance the quality and size of training dataset, the authors analysed and discussed the different augmentation parameters (rotation, flipping, zooming, and fill mode) that are effective for generating the large number of sample images of different variability. The model works well on constrained and unconstrained ear datasets and achieves good recognition accuracy. It also reduces the problem of overfitting. [ FROM AUTHOR] Copyright of Imaging Science Journal is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)","PeriodicalId":22456,"journal":{"name":"The Imaging Science Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88332064","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: 3

QSLRS-CNN: Qur'anic sign language recognition system based on convolutional neural networks QSLRS-CNN:基于卷积神经网络的古兰经手语识别系统

The Imaging Science Journal Pub Date : 2023-04-29 DOI: 10.1080/13682199.2023.2202576

Hany A. AbdElghfar, Abdelmoty M. Ahmed, A. A. Alani, Hammam M. Abdelaal, B. Bouallegue, M. Khattab, Hassan A. Youness

引用次数: 1

AMIBO: intelligent social conversational agent using artificial intelligence AMIBO:使用人工智能的智能社交对话代理

The Imaging Science Journal Pub Date : 2023-04-29 DOI: 10.1080/13682199.2023.2204663

Deepali Virmani, Charu Gupta

引用次数: 0

An image compression approach for efficient pneumonia recognition 一种高效肺炎识别的图像压缩方法

The Imaging Science Journal Pub Date : 2023-04-27 DOI: 10.1080/13682199.2023.2204038

Sabrina Nefoussi, Abdenour Amamra, Idir Amine Amarouche

引用次数: 0

Hybrid optimization enabled deep learning model for Parkinson's disease classification 基于混合优化的深度学习帕金森病分类模型

The Imaging Science Journal Pub Date : 2023-04-26 DOI: 10.1080/13682199.2023.2200060

M. Dharani, R. Thamilselvan

引用次数: 1

Resnet-Unet-FSOA based cranial nerve segmentation and medial axis extraction using MRI images 基于Resnet-Unet-FSOA的颅神经MRI图像分割与内轴提取

The Imaging Science Journal Pub Date : 2023-04-26 DOI: 10.1080/13682199.2023.2195097

A. Vivekraj, S. Sumathi

引用次数: 0

An intelligent unsupervised anomaly detection in videos using inception capsule auto encoder 基于inception capsule自动编码器的视频智能无监督异常检测

The Imaging Science Journal Pub Date : 2023-04-24 DOI: 10.1080/13682199.2023.2202577

Harshad S. Modi, D. Parikh

引用次数: 0

Colour-weighted rank transform and improved dynamic programming for fast and accurate stereo matching 颜色加权秩变换和改进的动态规划，用于快速准确的立体匹配

The Imaging Science Journal Pub Date : 2023-04-23 DOI: 10.1080/13682199.2023.2202096

Mohamed Hallek, Randa Khemiri, Ali Algarwi, Abdellatif Mtibaa, Mohamed Atri

{"title":"Colour-weighted rank transform and improved dynamic programming for fast and accurate stereo matching","authors":"Mohamed Hallek, Randa Khemiri, Ali Algarwi, Abdellatif Mtibaa, Mohamed Atri","doi":"10.1080/13682199.2023.2202096","DOIUrl":"https://doi.org/10.1080/13682199.2023.2202096","url":null,"abstract":"Real-time stereo matching with high accuracy is a dynamic research topic; it is attractive in diverse computer vision applications. This paper presents a stereo-matching algorithm that produces high-quality disparity map while maintaining real-time performance. The proposed stereo-matching method is based on three per-pixel difference measurements with adjustment elements. The absolute differences and the gradient matching are combined with a colour-weighted extension of complete rank transform to reduce the effect of radiometric distortion. The disparity calculation is realized using improved dynamic programming that optimizes along and across all scanlines. It solves the inter-scanline inconsistency problem and increases the matching accuracy. The proposed algorithm is implemented on parallel high-performance graphic hardware using the Compute Unified Device Architecture to reach over 240 million disparity evaluations per second. The processing speed of our algorithm reaches 98 frames per second on 240 × 320-pixel images and 32 disparity levels. Our method ranks fourth in terms of accuracy and runtime for quarter-resolution images in the Middlebury stereo benchmark.","PeriodicalId":22456,"journal":{"name":"The Imaging Science Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134955934","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

Dry gelatin ‘Photo-mechanical’ plates – their significance in the evolution of scientific & technical photography 干明胶“光机械”版-他们在科学和技术摄影的演变意义

The Imaging Science Journal Pub Date : 2023-04-22 DOI: 10.1080/13682199.2023.2195701

Alan Hodgson

引用次数: 0