ISSN 2375-0731
African Journal of Pig Farming ISSN 2375-0731 Vol. 7 (4), pp. 001-008, April, 2019. © International Scholars Journals
Full Length Research Paper
Improving the quality of pigskin leather texture images using enhanced image processing
Mohd Hafrizal Azmi, Fakhrul Zaman Rokhani, Raja Syamsul Azmir Raja Abdullah and M. Iqbal Saripan*
Department of Computer and Communication Systems Engineering, Faculty of Engineering, Universiti Putra Malaysia, 43400, UPM Serdang, Selangor, Malaysia.
Accepted 22 January, 2019
Abstract
In this paper, we propose a method to improve the quality of pigskin leather texture images using digital image processing approach. The proposed method intends to minimize the imbalance illumination problem that occurs in the images captured from consumer leather products. This method is compared with the other methods in the literature such as contrast adaptive binarization method, and the results showed that the proposed method yielded better results in terms of highlighting the special characteristics of pigskin in consumer leather products.
Key words: Digital image processing, pig skin images, binarization, local global analysis, histogram.