The digital image processing has introduced revolutionary developments in research fields like medicine, military, security, biometrics, robotics, satellite image processing, digital image compression, digital image enhancement, digital video processing, etc. Image enhancement is the predominant fundamental step in the image processing and digital image enhancement creates an image which is per...

In this study, a method based on using image processing and artificial neural network is introduced to determine pelt color and curl size of newborn lambs in Zandi sheep. The data was collected from 300 newborn lambs reared in the Zandi sheep breeding centre of Khojir, Tehran. Primarily, curl size and pelt color of new born lambs was recorded by experienced appraisers, and at the same time, sev...

Raw cane sugar is one of the most important product in the sugar industry and is the main raw material for the white sugar production. Morphological and physical properties of this product might influence the final white sugar. For instance, the behavior during centrifugation, transport and storage is related to the characteristics of these crystals. The object of this study was to determine th...

Removing noise from images is a challenging problem in digital image processing. This paper presents an image denoising method based on a maximum a posteriori (MAP) density function estimator, which is implemented in the wavelet domain because of its energy compaction property. The performance of the MAP estimator depends on the proposed model for noise-free wavelet coefficients. Thus in the wa...