Wavelet Based Image Retrieval Method

Abstract

A novel method for retrieving image based on color and texture extraction is proposed for improving the accuracy. In this research, we develop a novel image retrieval method based on wavelet transformation to extract the local feature of an image, the local feature consist color feature and texture feature. Once an image taking into account, we transform it using wavelet transformation to four sub band frequency images. It consists of image with low frequency which most same with the source called approximation (LL), image containing high frequency called horizontal detail (LH), image containing high frequency called vertical detail (HL), and image containing horizontal and vertical detail (HH). In order to enhance the texture and strong edge, we combine the vertical and horizontal detail to be other matrix. The next step is we estimate the important point called significant point by threshold the high value. After the significant points have been extracted from image, the coordinate of significant points will be used for knowing the most important information from the image and convert into small regions. Based on these significant point coordinates, we extract the image texture and color locally. The experimental results demonstrate that our method on standard dataset are encouraging and outperform the other existing methods, improved around 11 %. 

Authors and Affiliations

Kohei Arai , Cahya Rahmad

Keywords

Related Articles

Research on Chinese University Students’ Media Images

At present, university students, as the "after 90" and a new generation of young intellectuals, are being paid generally attentions by mass media. Nevertheless, university students’ public images are on a decline as they...

Identification of Toddlers’ Nutritional Status using Data Mining Approach

One of the problems in community health center or health clinic is documenting the toddlers’ data. The numbers of malnutrition cases in developing country are quite high. If the problem of malnutrition is not resolved, i...

An Indefinite Cycle Traffic Light Timing Strategy

Intelligent transportation signal control plays an important role in reducing traffic congestion and improving road capacity. The key of signal control is to adjust the traffic lights appropriately according to the traff...

Implementation of Novel Medical Image Compression Using Artificial Intelligence

The medical image processing process is one of the most important areas of research in medical applications in digitized medical information. A medical images have a large sizes. Since the coming of digital medical infor...

Barriers in Adoption of Health Information Technology in Developing Societies

This paper develops the conceptual framework of barriers faced by the decision makers and management personnel of health sector. The main theme of this paper is to give a clear understanding about the adaption barriers o...

Download PDF file
  • EP ID EP135130
  • DOI -
  • Views 94
  • Downloads 0

How To Cite

Kohei Arai, Cahya Rahmad (2012). Wavelet Based Image Retrieval Method. International Journal of Advanced Computer Science & Applications, 3(4), 6-11. https://europub.co.uk./articles/-A-135130