Abstract:

The design and implementation of an image retrieval system integrated multi-features through combining color and shape were realized in this paper.In the respect of color feature,some improvements were made to the traditional color histogram method,and a new color histogram method based on main colors was proposed.By combining the major color retrieving method and the color histogram computing,two quick screenings were carried out,thereby the scope of the search was narrowed and the retrieval efficiency was improved.With Fourier shape descriptors adopted,an improved contour-based description method was proposed.Because the tangential angle of contours (curvature) was highlighted and factors such as complex coordinates and center distance were ignored,within a reasonable range,the accuracy was lowered appropriately and the query speed was improved significantly.Finally,the fusion of the HSV feature and ART feature,improved the retrieval accuracy of road traffic signs.Autonomous mobile robot platform was realized in VC 6.0.Experiments show that,if combining the features of the color and shape together,adjusting the weighting coefficient λ between the two,ultimately the value of λ can be determined,the recall ratio and precision ratio reach a relatively higher level.

Key words: image retrieval, color features, shape features, multi-feature matching, road traffic sign recognition