Texture Analysis on Two-photon Excited Microscopic Images of Human Skin Hypertrophic Scar Tissue[J]. Journal of Image and Graphics, 2009, 14(9): 1862. DOI: 10.11834/jig.20090924.
According to the pathological characteristics of skin hypertrophic scar tissue
texture features on the edge direction
density distribution and geometric morphology are extracted from two-photon excited microscopic images of scar tissue and used to distinguish the normal tissue from scar tissue. Algorithms of mean-shift are applied to analyze the extracted texture features. Finally
a compositive formula is presented for quantitatively analyzing images. 118 two-photon excited microscopic images originated from human hypertrophic scar tissue are statistically analyzed based on this formula and the inaccuracy rate is 5.1%. These results indicate that texture features and analytic methods proposed in this paper are effective on distinguishing the normal tissue from scar tissue and accurately fixing on their border.