Describing greylevel textures through curvature primal sketching

A new and unified approach is proposed for ridge and contour points detection in textures. It involves a 3D-representation of a greylevel image and a description of the surface thus obtained, with local curvature properties. Some theoretical foundations are first recalled and used for the extraction of ridge and contour points from the convex domains of the image surface. Experimental results are given in the case of crystallization images of biological substratums, in which radiance centers are looked for.