关键词: 颜色矩, 地板分类, 最大最小距离算法, 最短距离分类, K-最近相邻分类

Abstract: The floor hierarchical classification based on the color characteristics is proposed to improve the automate degree. Through clustering the pre-specified color characteristics of the floor sample, the broad categories and specific categories are created to determine the training samples. To classify the unknown floor samples, the first use of the shortest distance classification is to determine the general category of the sample, then uses the improved K-nearest neighbor classification to determine the specific categories. Test results show that the hierarchical processing program reduces the K-nearest neighbor of the data processing phase with a higher classification accuracy.

Key words: color moments, floor classification, maximum minimum distance algorithm, minimum distance classification, K-nearest-neighbor classification