Fuzzy Shape of Objects in Images with Similarity Measure for Image Retrieval Applications

摘要

The object present in an image is an important content and can be used in CBIR applications. Identifying and representing the shape of the object is highly complex because there are uncertainties in the boundary of the object of interest. In this paper, the authors have proposed Fuzzy-Object-Shape to capture the shape of the object of interest along with the degree of impreciseness in the boundary information. The Fuzzy-Object-Shape information is extracted from each object in an image. This information provides a measure of closeness of the object of interest with well-known shapes. For each object, the fuzzy membership values are calculated and considered as feature vector. A similarity measure is proposed for measuring the degree of closeness of objects present in both query and database images. The performance of the proposed approach is compared with some of the recently proposed similar approaches. Benchmark dataset and uncontrolled dataset are used for the experiments and found that the performance of the proposed approach is encouraging.