Abstract

2D object shape description has gained considerable attention in field of content-based image retrieval (CBIR) and in various applications that concerned with the shapes of objects. Object shape descriptors in the literature are commonly classified into two forms: contour-based and region-based. In this paper we present our contour-based shape representation and description, where the object shape is represented and describe as a set of discrete segments. The descriptor is invariant to translation, scale and Circular shifting makes it robust to rotation.

Highlights

  • Due to The expansion of multimedia information, a challenging problem of designing techniques that support effective searching through large volume image databases has risen

  • Since our work falls under Structural boundary-based method, we focus our attention on this type of shape representation and description

  • Shape description: Low computation complexity is a desirable characteristic of any shape descriptor

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Summary

INTRODUCTION

Due to The expansion of multimedia information, a challenging problem of designing techniques that support effective searching through large volume image databases has risen. Split and merge[20,21] is one of the well known methods in this group, Split-and-merge method splits the boundary into segments iteratively until each curve segment can be approximated by linear segments within a predetermined error range and merge the adjacent segments to form a single segment if a predetermined error is not exceeded, this method can approximate any shape with good accuracy compactly if the object has straight edges The difficulty with this method is that vertices in the resulting polygon don’t always correspond to inflections points in the original boundary. Of straight-line segments (lengths and directions), which lead to generate an approximate representation of the original boundary of the object. In our method a sequence of the lengths and the differences between the slopes of adjacent primitives can be used as a reliable descriptor of the boundary

The difference in the slopes between any primitive
CONCLUSION
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