2013 IEEE International Conference on Signal and Image Processing Applications最新文献_第6页

Estimation of the RiIG-distribution parameters using the Artificial Neural Networks 用人工神经网络估计riig分布参数

2013 IEEE International Conference on Signal and Image Processing Applications Pub Date : 2013-10-01 DOI: 10.1109/ICSIPA.2013.6708020

A. Mezache, I. Chalabi

引用次数: 2

Robust outliers exclusion for high density impulse noise suppression algorithm

2013 IEEE International Conference on Signal and Image Processing Applications Pub Date : 2013-10-01 DOI: 10.1109/ICSIPA.2013.6707975

S. Hussain, Sami M. Gorashi

引用次数: 1

Content-Based Image Retrieval using SIFT for binary and greyscale images 基于内容的图像检索使用SIFT对二值和灰度图像

2013 IEEE International Conference on Signal and Image Processing Applications Pub Date : 2013-10-01 DOI: 10.1109/ICSIPA.2013.6707982

S. A. Bakar, M. S. Hitam, W. Yussof

引用次数: 39

Automated quantification and classification of malaria parasites in thin blood smears 薄血涂片中疟原虫的自动定量和分类

2013 IEEE International Conference on Signal and Image Processing Applications Pub Date : 2013-10-01 DOI: 10.1109/ICSIPA.2013.6708035

Z. May, Siti Sarah Azreen Mohd Aziz, Rabi'ahtuladawiah Salamat

{"title":"Automated quantification and classification of malaria parasites in thin blood smears","authors":"Z. May, Siti Sarah Azreen Mohd Aziz, Rabi'ahtuladawiah Salamat","doi":"10.1109/ICSIPA.2013.6708035","DOIUrl":"https://doi.org/10.1109/ICSIPA.2013.6708035","url":null,"abstract":"Malaria is a life threatening disease caused by mosquitoes of Anopheles genus that carries the plasmodium parasites. Malaria parasites identification is currently done based on patient's symptoms and parasitological testing. Both methods have several drawbacks such as limited access to microscopy experts especially in rural area practice, restricted diagnostic facilities and costly. This paper presents an approach to automatically quantify and classify erythrocytes infected by Plasmodium vivax at trophozoites stages in thin blood smears. Experimentation is conducted in MATLAB environment specifically using the Image Processing Toolbox. Tasks are divided into three main stages namely image preprocessing, segmentation and classification. In preprocessing, images were first converted to L*a*b* color space and then filtered to remove noises. For segmentation stage, a threshold for each image was calculated using Otsu method. Further, dilation and erosion were performed to completely remove background elements. In the classification stage, images were classified based on the number of infected red blood cell detected. Testing performed using 350 images yielded in 99.72% sensitivity, 99.94% specificity and 98.90% positive predictive value. Results proved that this proposed method is highly potential for automated malaria parasites identification system.","PeriodicalId":440373,"journal":{"name":"2013 IEEE International Conference on Signal and Image Processing Applications","volume":"36 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126068378","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: 30

Lesion border detection in dermoscopy images using bilateral filter 双侧滤波器在皮肤镜图像病灶边界检测中的应用

2013 IEEE International Conference on Signal and Image Processing Applications Pub Date : 2013-10-01 DOI: 10.1109/ICSIPA.2013.6708034

A. Abbas, R. Logeswaran, Xiaoning Guo, W. Tan

引用次数: 4

Compressive sensing for blind NBI mitigation in UWB systems UWB系统中基于压缩感知的盲NBI缓解

2013 IEEE International Conference on Signal and Image Processing Applications Pub Date : 2013-10-01 DOI: 10.1109/ICSIPA.2013.6708047

S. Alawsh, A. Muqaibel

引用次数: 8

Image processing techniques for high speed camera-based free-field optical communication 基于高速相机的自由场光通信图像处理技术

2013 IEEE International Conference on Signal and Image Processing Applications Pub Date : 2013-10-01 DOI: 10.1109/ICSIPA.2013.6708038

Gabriel Pablo Nava, Y. Kamamoto, Takashi G. Sato, Yoshifumi Shiraki, N. Harada, T. Moriya

{"title":"Image processing techniques for high speed camera-based free-field optical communication","authors":"Gabriel Pablo Nava, Y. Kamamoto, Takashi G. Sato, Yoshifumi Shiraki, N. Harada, T. Moriya","doi":"10.1109/ICSIPA.2013.6708038","DOIUrl":"https://doi.org/10.1109/ICSIPA.2013.6708038","url":null,"abstract":"Optical communication through light-emitting diodes (LEDs) and video cameras is rapidly gaining attention due to the increasing pervassiveness of those devices, and because of its potential data capacity. However, the communication quality is greatly compromised by the low resolution of the imaging sensor which produces blurred images of the LEDs at long distances. On the other hand, the images recorded at high frame rates possess particular features that can be used to improve the reception. This paper suggests image processing techniques to detect and decode the optical signals of an array of LEDs. For the case of blurred images, detection of the LED's is reinforced by a k-means clustering algorithm based on distance measurements derived from the linear correlation among pixel intensities along the time dimension. Experiments with a prototype show that the proposed algorithms can improve the bit error rate (BER) of the decoded signal. Furthermore, partial implementation on a General Purpose Graphics Processing Unit (GPGPU) is also addressed, and processing times are demonstrated.","PeriodicalId":440373,"journal":{"name":"2013 IEEE International Conference on Signal and Image Processing Applications","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130053730","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: 7

Spiral path simulation of pedestrian flow during Tawaf Tawaf期间螺旋路径行人流模拟

2013 IEEE International Conference on Signal and Image Processing Applications Pub Date : 2013-10-01 DOI: 10.1109/ICSIPA.2013.6708011

Nuhu Aliyu Shuaibu, I. Faye, M. Simsim, A. Malik

引用次数: 9

Performance comparison of some CFAR detectors in homogenous and non-homogenous clutter 均匀杂波和非均匀杂波条件下CFAR检测器的性能比较

2013 IEEE International Conference on Signal and Image Processing Applications Pub Date : 2013-10-01 DOI: 10.1109/ICSIPA.2013.6707985

M. Baadeche, F. Soltani

引用次数: 8

Keynote speaker III: Information embedding: From theory to practice 主讲嘉宾三:信息嵌入:从理论到实践

2013 IEEE International Conference on Signal and Image Processing Applications Pub Date : 2013-10-01 DOI: 10.1109/ICSIPA.2013.6707965

P. Moulin

引用次数: 0