  To solve the issue of segmenting rich texture images, a novel detection
methods based on the affine invariable principle is proposed. Considering the
similarity between the texture areas, we first take the affine transform to get
numerous shapes, and utilize the KLT algorithm to verify the similarity. The
transforms include rotation, proportional transformation and perspective
deformation to cope with a variety of situations. Then we propose an improved
LBP method combining canny edge detection to handle the boundary in the
segmentation process. Moreover, human-computer interaction of this method which
helps splitting the matched texture area from the original images is
user-friendly.
