Objects matching combining color and shape

Abstract

This paper presents a general 2 0 object characterization and matching scheme based on the information provided by color and shape. We will focus on matching objects from generic images with complex scenes. In order to identifi the region associated to each object, we use an unsupervised segmentation process based on a hierarchical representation of the image. The image is characterized using a uniform-scale chromatic space for the color, and morphological filters and deformable models for the shape and outline, respectively. Our method has been tested in order to retrieve objects of various colors and shapes. The proposed scheme is invariant to image rotation, aBne transformations changes in illumination, and robust to small perspective and points of view deformations.

Applying Mathematical Morphology for the Classification of Iberian Ceramics from the Upper Valley of Guadalquivir River

“…Each profile, defined as the cross section of the vessel in the direction of the rotational axis of symmetry (see Figure 1), is characterized by means of several morphological curves [12,13] extracted from its shape, a method that has been used successfully in other shape recognition related problems [14,15].…”