Sajjanhar, A., Lu, G., Zhang, D. and Zhou, W. 2010, Connectivity-based shape descriptors, International journal of computers and applications, vol. 32, no. 1, pp. 93-98, doi: 10.2316/Journal.202.2010.1.202-2601.
In this paper, we propose a method for indexing and retrieval of images based on shapes of objects. The concept of connectivity is introduced. 3D models are used to represent 2D images. 2D images are decomposed a priori using connectivity which is followed by 3D model construction. 3D model descriptors are obtained for 3D models and used to represent the underlying 2D shapes. We have used spherical harmonics descriptors as the 3D model descriptors. Difference between two images is computed as the Euclidean distance between their descriptors. Experiments are performed to test the effectiveness of spherical harmonics for retrieval of 2D images. The proposed method is compared with methods based on principal components analysis (PCA) and generic Fourier descriptors (GFD). It is found that the proposed method is effective. Item S8 within the MPEG-7 still images content set is used for performing experiments.
Field of Research
080106 Image Processing
Socio Economic Objective
890301 Electronic Information Storage and Retrieval Services
Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact email@example.com.