摘要: Laws has introduced a class of texture features based on average degrees of match of the pixel neighborhoods with a set of standard masks. These features yield better texture classification than standard features based on pairs of... 展开 Laws has introduced a class of texture features based on average degrees of match of the pixel neighborhoods with a set of standard masks. These features yield better texture classification than standard features based on pairs of pixels. This paper investigates simpifications of these features, and shows that their performance is not greatly affected by their exact form, and also appears to remain the same if only local match maxima are used. It also presents an alternative definition of such features based on sums and differences of Gaussian convolutions. 收起