Research on the influence of focusing function based on different texture image

The main research content of this paper is to take fabric images with different texture features, by three kinds of commonly used and relatively good performance of the clarity evaluation function process the image, such as gray scale gradient function, energy gradient function (Tenengrad function) and Laplasse algorithm, So as to obtain the clarity evaluation function curve of different texture images, and then according to the characteristics of the single peak, no bias and anti interference ability, draw texture image that is much more detail-rich images easier to focus.