In order to improve general adaptive capability of algorithm,the new color image segmentation algorithm based on feature divergence and fuzzy theory(FDCIS) is proposed.

Based on the advantages of less noise and pinpoint in the multi-scale field,the algorithm introduces feature divergence into calculation in order to measure the dissimilarity of pixels and to detect color image edge effectively.

From the similarity relations of radiative transfer theory,a parameter,namely characteristic length,was introduced on the basis of P_1 and P_3 satisfying approximatly the first-order similarity and third-order similarity relations.

Based on the researching of the infrared decoy countermeasure to the target characteristic length and energy equivalent centre,the countermeasure to the point target image radiation characteristics are analyzed.

By the relationship between the theoretical roughness and fractal parameters,the fractal parameters were introduced into the calculation of trait of a bearing center,and the influences of fractal dimension and characteristic length on the position of bearing center were investigated.

The feature length is to measure the degree in which micro-particle can be described by the model of classical mechanics.