A Curvature-Based Coding Method for 2D Object Contour

Abstract

The invention discloses a curvature-based two-dimensional target contour coding method. The invention divides the discrete target contour pixel points evenly into 12 relative positions, and designs 6 kinds of code values. Using this coding method, the target The curvature of the contour is extracted, and the relative positional relationship between adjacent pixels is established. This method can avoid the phenomenon that the traditional contour coding method makes the code change, and at the same time reduce the complexity of calculation. In target matching, it can better match the plane curve contour, and can solve the matching problem under occlusion.

Description

technical field [0001] The invention relates to the field of object shape recognition in pattern recognition, in particular to a curvature-based two-dimensional object contour coding method. Background technique [0002] In order to better recognize the shape of the target, the encoding method should not deform the rigid body of the target, and at the same time keep as much original information of the target as possible. At present, the commonly used encoding methods include the encoding method using position coordinates and chain codes to describe the outline information of the target object and the boundary description method based on Fourier descriptors. However, when the method of using position and chain code to describe the outline information of the target object occurs a rigid change in the object, the coding of the target will change greatly, which will cause great obstacles to the reconstruction of the target; The change of the rigid body of the object is invarian...

AI Technical Summary

Problems solved by technology

However, when the method of using position and chain code to describe the outline information of the target object occurs a rigid change in the object, the coding of the target will change greatly, which will cause great obstacles to the reconstruction of the target; The change of the rigid body of the object is invariant, but complex Fourier operations are required, and some information will be lost while normalizing the invariance, and will be affected by the selected starting point

In addition, the contour invariant moment description method, autoregressive model method, geometric correlation function method and neural network method can all describe the contour boundary information of the target object, but it will cause a large amount of information loss, which is not conducive to the restoration of the contour curve.

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