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An Image Retrieval System Based on the Color, Areas, and Perimeters of Objects

Wang C-L., Hwang R-H., Chan Y-K, Chen C-Y., Cheng C-C.

Fundamenta Informaticae

2006

Vol. 69, nr 3

319-330

Two different objects can be generally distinguished by their colors, areas, and perimeters. This paper hence proposes an image retrieval system which uses the colors, areas, and perimeters of objects in an image as the features of the image. The system is insensitive to the shift and rotation variations of objects in images, as well as to the scale and noise variations of images. The experimental results show that this system is capable of recognizing different images very well.

A Refined VQ-Based Image Compression Method

Chan Y-K, Wang H-F., Lee C-F.

Fundamenta Informaticae

2004

Vol. 61, nr 3,4

213-221

This paper presents a refined VQ-based image compression method which modifies the traditional VQ-based image compression method. The refined VQ-based image compression method further lossless encodes the compression data which is generated by the traditional VQ-based image compression method into a set of compression codes. The index image generated by the refined method is a contracted image of the compressed image, which can be used as the preview of the compressed image on image management. Although the PSNRs of the reconstructed images that are decoded by the refined VQ-based image compression method and the traditional VQ-based image compression method are the same, the refined VQ-based image compression method provides a better storage efficiency.