Modeling system and extracting method for primal sketch of color image

Abstract

The invention discloses a modeling system and extracting method for a primal sketch of a color image. The modeling system comprises a color space alternation module, a structural motif modeling module, a texture primitive modeling module and a color image primal sketch modeling module, wherein the color space alternation module transforms an original RGB image into a Lab color space through a color space, the structural motif modeling module divides a structure part in the image into a set of K disjointed image blocks, each set of image blocks are represented by an image primitive, and the structure part of the image is represented by a structure chart through a set of image primitives; the texture primitive modeling module clusters a texture part in the color image trough response of a set of selected filters and divides the texture part into a set of disjointed homogeneous texture areas, each homogeneous texture area is represented by a set of histograms in an implicit expression mode, and finally the texture areas in the image are marked; the color image primal sketch modeling module obtains a probability mathematic model represented by a primal sketch of a gray level image, and constructs a model for the primal sketch of the color image. Through the modeling system and extracting method for the primal sketch of the color image, the primal sketch neglected by the gray level primal sketch image can be extracted.

Description

technical field [0001] The invention relates to the technical field of human-computer interaction, in particular to a system and an extraction method for establishing a main primitive graph model of a color image. Background technique [0002] Machine vision (Machine Vision, MV) is to use machines instead of human eyes for measurement and judgment. It is an essential information acquisition channel for any intelligent system. According to Marr's three-layer visual computing model, from the original 2D image to the main primitive map (Primal Sketch) is the first layer of visual computing. The main primitive graph is a very important image representation model in machine vision, and its purpose is to unify the representation of structure and texture in the image. [0003] Marr put forward the main primitive representation theory in his visual computing model, but did not give a complete mathematical model and extraction algorithm. At present, the main principal element extra...

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Problems solved by technology

[0004] However, the above-mentioned main primitive extraction method has the following disadvantages: 1. The main primitive extraction method based on the zero-crossing point needs to select a suitable filter

However, for different types of images, there is no uniform rule for selecting filters; 2. The main primitive graph model and extraction algorithm of grayscale images based on statistical methods can only process grayscale images. From the theory of visual perception, color is A very important source of information in image perception, especially the perception of the outline of objects has a very important impact, which also affects the representation of the main primitive graph

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