Segmentation and Compression of Pharynx and Esophagus Fluoroscopic Images

被引：0

作者：

Arif, Arif Sameh ^{[1
]}

Logeswaran, Rajasvaran ^{[1
]}

Mansor, Sarina ^{[1
]}

Karim, Hezerul Abdul ^{[1
]}

机构：

[1] Multimedia Univ, Fac Engn, Cyberjaya 63100, Selangor, Malaysia

来源：

2013 IEEE INTERNATIONAL CONFERENCE ON SIGNAL AND IMAGE PROCESSING APPLICATIONS (IEEE ICSIPA 2013) | 2013年

关键词：

Fluoroscopy medical images; ROI; Lossless image compression; Run-length Coding; Huffman Coding; Correlation; REGION;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Enormous amounts of sequential medical images are produced in modern medical examinations, typically in Fluoroscopy. Although highly effective, such large quantities of images incur a high cost in terms of storage, processing time and transmission. This paper proposes a method for lossless compression of targeted parts within Fluoroscopy images, extracting the region of interest (ROI) - in this case the pharynx and esophagus, and employing customized correlation and the combination of Run Length and Huffman coding, to increase compression efficiency. The experimental results show that the proposed method improved performance with a compression ratio of 300% better than conventional methods.

引用

页码：220 / 225

页数：6

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