依据皮肤增生性疤痕组织的病理特点，对其细胞外间质成分——胶原纤维和弹力纤维的双光子显微图像进行边缘方向、胶原纤维密度分布、弹力纤维几何形态等三方面的特征提取，并采用mean-shift等算法对这些特征进行了分析，最后将它们综合起来提出了一个评判公式。利用该式对118幅皮肤增生性疤痕组织的双光子显微图像进行统计分析，判断错误率为51%。分析结果表明，提出的纹理特征与分析方法能有效地判断皮肤是否疤痕化，为临床外科整形手术治疗皮肤疤痕中的精确定位皮肤疤痕的边界提供依据。

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.