DocumentCode :
3221371
Title :
Type2 fuzzy set based automatic shadow region segmentation in intra vascular ultrasound images
Author :
Fathi-Azar, Elham ; Setarehdan, Seyed Kamaledin
Author_Institution :
Control & Intell. Process. Center of Excellence, Univ. of Tehran, Tehran, Iran
fYear :
2011
fDate :
16-18 Nov. 2011
Firstpage :
354
Lastpage :
359
Abstract :
This paper presents an automated algorithm for shadow regions detection in IVUS images using a histogram modification method for threshold selection. The method employs the Type2 Fuzzy Set together with spatial information for shadow region separation from the background image. Shadow regions usually occur behind the calcium deposits making it difficult or impossible to process tissue images in these regions. Results show that the proposed method is effective in detection of parts of the image in the shadow regions. Applying to a data set of 40 IVUS frames the results show a good agreement between the automatically detected and manually defined shadow regions boundaries by the proposed method and the expert, respectively.
Keywords :
fuzzy set theory; image segmentation; medical image processing; ultrasonic imaging; IVUS images; Type2 fuzzy set based automatic shadow region segmentation; automated algorithm; background image; calcium deposits; histogram modification method; shadow region separation; spatial information; threshold selection; tissue images; vascular ultrasound image; Calcium; Conferences; Fuzzy sets; Histograms; Image segmentation; Speckle; IVUS; Typ2 fuzzy set; histogram modification; shadow region; thresholding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal and Image Processing Applications (ICSIPA), 2011 IEEE International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4577-0243-3
Type :
conf
DOI :
10.1109/ICSIPA.2011.6144110
Filename :
6144110
Link To Document :
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