Improving the quality of pigskin leather texture images using enhanced image processing

Authors

  • Mohd Hafrizal Azmi, Fakhrul Zaman Rokhani, Raja Syamsul Azmir Raja Abdullah
  • M. Iqbal Saripan

Keywords:

Digital image processing, pig skin images, binarization, local global analysis, histogram

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.

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Published

2019-02-22

How to Cite

Mohd Hafrizal Azmi, Fakhrul Zaman Rokhani, Raja Syamsul Azmir Raja Abdullah, & M. Iqbal Saripan. (2019). Improving the quality of pigskin leather texture images using enhanced image processing. African Journal of Pig Farming, 7(1), 1–8. Retrieved from https://elixirpublishers.in/index.php/ajpf/article/view/774