Innovative Texture Database Collecting Approach and Feature Extraction Method based on Combination of Gray Tone Difference Matrixes, Local Binary Patterns, and K-means Clustering

سال انتشار: 1393
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 893

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شناسه ملی سند علمی:

CCITC01_052

تاریخ نمایه سازی: 27 آبان 1393

چکیده مقاله:

Texture analysis and classification are some of the problems which have been paid much attention by image processing scientists since late 80s. If texture analysis is done accurately, it can be used in many cases such as object tracking, visual pattern recognition, and face recognition. Since now, so many methods are offered to solve this problem. Against their technical differences, all of them used same popular databases to evaluate their performance such as Brodatz or Outex, which may be made their performance biased on these databases. In this paper, an approach is proposed to collect more efficient databases of texture images. The proposed approach is included two stages. The first one is developing feature representation based on gray tone difference matrixes and local binary patterns features and the next one is consisted an innovative algorithm which is based on K-means clustering to collect images based on evaluated features. In order to evaluate the performance of the proposed approach, a texture database is collected and fisher rate is computed for collected one and well known databases. Also, texture classification is evaluated based on offered feature extraction and the accuracy is compared by some state of the art texture classification methods.

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نویسندگان

Shervan Fekri-Ershad

Department of Computer Science and Engineering Shiraz University Shiraz, Fars, Iran

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  • B.V. Reddy, M.R. Mani, B. Sujatha, V.V. Kumar- "Texture Classification ...
  • Sh. Fekri-Ershad, "Color texture classification approach based on ...
  • International Conference on Acoustics, Speech and Signal Processing, Vol. 1, ...
  • M.A. Akhloufi, X. Maldague, and W.B. Larbi, "A new color-texture ...
  • X. Xie, "A review of recent advances _ surface defect ...
  • B.S. Anami, S.S. Nandyal, and A. Govardhan, "A combined color, ...
  • IEEE Transactions on Patterm Analysis and Machine Intelligence, Vol. 24, ...
  • M. Berg, O. Cheong, M. van Kreveld, and M. Overmars, ...
  • , No. 5, 1989, pp. 1264-1274 ...
  • M.Pietikainen, T.Ojala, and Z.Xu, _ Rotation -Invariant Texture Classification Using ...
  • Single Scale Retinex", Arabian Journal for Science and engineering, Vol. ...
  • Sh. Fekri-Ershad, and S. Hashemi, "To increase quality of feature ...
  • V. Monev, "Introduction o similarity searching in chemistry", Match Communication ...
  • نمایش کامل مراجع