A new colour-texture feature extraction method for image retrieval system using gray level co-occurrence matrix
Joint Authors
Mahdi, Fatin
Ibadi, Abd al-Karim Uklah
Source
Journal of Babylon University : Journal of Applied and Pure Sciences
Issue
Vol. 27, Issue 6 (31 Dec. 2019), pp.196-211, 16 p.
Publisher
Publication Date
2019-12-31
Country of Publication
Iraq
No. of Pages
16
Main Subjects
Abstract EN
Proposed a new colour-texture feature extraction method is presented for content based image retrieval (CBIR) system using gray level co-occurrence matrix (GLCM).
in this method, Colour- GLCM (C-GLCM) is extracted from each colour channel, and then computes the average of each column of GLCM matrix for each channel.
In this case, we will get a feature vector include colour and texture features at the same time to achieve the objectives of any CBIR system which are ; decrease the Feature Vector (FV) dimensions which consequently reduces retrieval time, and also increase the retrieval accuracy.
to perform the evaluation of the proposed CBIR system, 4000 test images have been used as query images including 500 original images were selected randomly from image database of Iraqi national museum of modern art, then applying seven image transformations on each original image resulting 3500 transformations image sued as query image.
the proposed C-GLCM algorithm has led to improve and increase the retrieval accuracy (93.63%) comparing with GLCM that extraction from whole gray image (87.88%) and comparing with statistical properties that extraction from GLCM feature (80%).
American Psychological Association (APA)
Mahdi, Fatin& Ibadi, Abd al-Karim Uklah. 2019. A new colour-texture feature extraction method for image retrieval system using gray level co-occurrence matrix. Journal of Babylon University : Journal of Applied and Pure Sciences،Vol. 27, no. 6, pp.196-211.
https://search.emarefa.net/detail/BIM-1316591
Modern Language Association (MLA)
Mahdi, Fatin& Ibadi, Abd al-Karim Uklah. A new colour-texture feature extraction method for image retrieval system using gray level co-occurrence matrix. Journal of Babylon University : Journal of Applied and Pure Sciences Vol. 27, no. 6 (2019), pp.196-211.
https://search.emarefa.net/detail/BIM-1316591
American Medical Association (AMA)
Mahdi, Fatin& Ibadi, Abd al-Karim Uklah. A new colour-texture feature extraction method for image retrieval system using gray level co-occurrence matrix. Journal of Babylon University : Journal of Applied and Pure Sciences. 2019. Vol. 27, no. 6, pp.196-211.
https://search.emarefa.net/detail/BIM-1316591
Data Type
Journal Articles
Language
English
Notes
Text in English ; abstracts in .
Record ID
BIM-1316591