Remove the glint of meat image with an improved inpainting algorithm based on exemplar patch[J]. Journal of Image and Graphics, 2011, 16(7): 1159-1163. DOI: 10.11834/jig.20110701.
there would be reflective area in the meat image under visible light
which lead to the loss of some muscle information. In order to improve the accuracy of obtaining meat image’s related information
it is necessary to restore the reflective area as much as possible. Based on the algorithm of image completion by exemplar path
with the feature of meat image
an improved algorithm is presented in this paper. First
replacing Robert operator with Prewitt
so that the LISREL of information lost area get better preserved. Then
by using twice matching method
the amount of scanning data is reduced in the process of searching the best matched block
and the repair time is saved about 2/3 of original algorithm. After that
to eliminate seam effects
adding α-cut Mean Filter in the process of inpainting
it makes the repair results meet the requirements of visual psychology better. The experimental results show that both the inpainting efficiency and effect of improved algorithm are better than the original
and the method can not only repair the reflective area of meat image