Design of the color vector similarity coefficient classifier for bleeding detection in wireless capsule endoscopy images

被引：0
|
作者：
School of Electronic Information and Electrical Engineering, Shanghai Jiaotong University, Shanghai 200240, China [1 ]
机构：
来源：
Shanghai Jiaotong Daxue Xuebao | 2009年 / 11卷 / 1715-1719期
关键词：
Bleeding detections - Calculation formula - Color vector similarity coefficients - Intelligent recognition - Similarity coefficients - Wireless capsule endoscopy - Wireless capsule endoscopy image - Wireless capsule endoscopy image (WCE);
D O I：
暂无
中图分类号：
学科分类号：
摘要：
In order to improve the recognition rate of the bleeding intelligent recognition, the new concept of color vector similarity coefficient was brought forth to measure the color similarity, the calculation formula of the similarity coefficient was also derived. Based on this similarity coefficient the classifier was designed which can be applied in the RGB color space; combining the classifier with the algorithm of seeded-region-grow the new algorithm of wireless capsule endoscopy (WCE) image bleeding intelligent recognition was implemented. The experiments show that the sensitivity and the specificity of this algorithm reach 97%, 90% respectively. The WCE image bleeding intelligent recognition is basically realized and will be applied in the WCE images detection to help the clinician.
引用
收藏
相关论文
共 50 条
  • [21] An Improved Bleeding Detection Method for Wireless Capsule Endoscopy (WCE) Images Based on AlexNet
    Sunitha, S.
    Sujatha, S. S.
    ICSPC'21: 2021 3RD INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND COMMUNICATION (ICPSC), 2021, : 11 - 15
  • [22] Gastrointestinal Bleeding Detection in Wireless Capsule Endoscopy Images Using Handcrafted and CNN Features
    Jia, Xiao
    Meng, Max Q-H.
    2017 39TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2017, : 3154 - 3157
  • [23] Computer aided detection of bleeding in capsule endoscopy images
    Li, Baopu
    Meng, Max Q. -H.
    2008 CANADIAN CONFERENCE ON ELECTRICAL AND COMPUTER ENGINEERING, VOLS 1-4, 2008, : 1875 - 1878
  • [24] Polyp Detection in Wireless Capsule Endoscopy Images Using Novel Color Texture Features
    Zhao, Qian
    Meng, Max Q. -H.
    2011 9TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA 2011), 2011, : 948 - 952
  • [25] Automated bleeding detection in wireless capsule endoscopy images based on color feature extraction from Gaussian mixture model superpixels
    Rathnamala, S.
    Jenicka, S.
    MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING, 2021, 59 (04) : 969 - 987
  • [26] Automated bleeding detection in wireless capsule endoscopy images based on color feature extraction from Gaussian mixture model superpixels
    S. Rathnamala
    S. Jenicka
    Medical & Biological Engineering & Computing, 2021, 59 : 969 - 987
  • [27] Fast Algorithms for Restoration of Color Wireless Capsule Endoscopy Images
    Liu, Haiying
    Lu, W. -S.
    Meng, Max Q. H.
    2011 IEEE 54TH INTERNATIONAL MIDWEST SYMPOSIUM ON CIRCUITS AND SYSTEMS (MWSCAS), 2011,
  • [28] CHOBS: Color Histogram of Block Statistics for Automatic Bleeding Detection in Wireless Capsule Endoscopy Video
    Ghosh, Tonmoy
    Fattah, Shaikh Anowarul
    Wahid, Khan A.
    IEEE JOURNAL OF TRANSLATIONAL ENGINEERING IN HEALTH AND MEDICINE, 2018, 6
  • [29] Automatic polyp detection for wireless capsule endoscopy images
    Li, Baopu
    Meng, Max Q. -H.
    EXPERT SYSTEMS WITH APPLICATIONS, 2012, 39 (12) : 10952 - 10958
  • [30] Detection of Hookworm Infection in the Wireless Capsule Endoscopy Images
    Sri, R. Sneha
    Oliver, A. Sheryl
    Shanthini, S.
    2017 IEEE INTERNATIONAL CONFERENCE ON ELECTRICAL, INSTRUMENTATION AND COMMUNICATION ENGINEERING (ICEICE), 2017,
12345