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- Delic, MarijaUniversity of Novi Sad, Faculty of technical sciences (author)
αLBP – a novel member of the Local Binary Pattern family based on α-cutting
- Article/chapterEnglish2015
Publisher, publication year, extent ...
- IEEE,2015
- printrdacarrier
Numbers
- LIBRIS-ID:oai:DiVA.org:uu-267294
- https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-267294URI
- https://doi.org/10.1109/ISPA.2015.7306025DOI
Supplementary language notes
- Language:English
- Summary in:English
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- SwePubSwePub
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- Local binary pattern (LBP) descriptors have been popular in texture classification in recent years. They were introduced as descriptors of local image texture and their histograms are shown to be well performing texture features. In this paper we introduce two new LBP descriptors, αLBP and its improved variant IαLBP. We evaluate their performance in classification by comparing them with some of the existing LBP descriptors - LBP, ILBP, shift LBP (SLBP) and with one ternary descriptor - LTP. The texture descriptors are evaluated on three datasets - KTH-TIPS2b, UIUC and Virus texture dataset. The novel descriptor outperforms the other descriptors on two datasets, KTH-TIPS2b and Virus, and is tied for first place with ILBP on the UIUC dataset.
Subject headings and genre
- NATURVETENSKAP Data- och informationsvetenskap Datavetenskap hsv//swe
- NATURAL SCIENCES Computer and Information Sciences Computer Sciences hsv//eng
- NATURVETENSKAP Data- och informationsvetenskap Datorseende och robotik hsv//swe
- NATURAL SCIENCES Computer and Information Sciences Computer Vision and Robotics hsv//eng
- Histograms
- Binary codes
- Accuracy
- Fuzzy sets
- Image processing
- Noise
- Computerized Image Processing
- Datoriserad bildbehandling
Added entries (persons, corporate bodies, meetings, titles ...)
- Lindblad, JoakimUppsala universitet,Avdelningen för visuell information och interaktion,Bildanalys och människa-datorinteraktion,Mathematical Institute, Serbian Academy of Sciences and Arts, Belgrade, Serbia,Centre for Image Analysis(Swepub:uu)joali534 (author)
- Sladoje, NatasaUppsala universitet,Bildanalys och människa-datorinteraktion,Avdelningen för visuell information och interaktion,Mathematical Institute, Serbian Academy of Sciences and Arts, Belgrade, Serbia,Centre for Image Analysis(Swepub:uu)namat934 (author)
- University of Novi Sad, Faculty of technical sciencesAvdelningen för visuell information och interaktion (creator_code:org_t)
Related titles
- In:Proc. 9th International Symposium on Image and Signal Processing and Analysis: IEEE, s. 13-189781467380324
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