Authors : Muhammad Suzuri Bin Hitam, Pong Kuan Peng, Wan Nural Jawahir Hj Wan Yussof, Abdul Aziz K Abdul and Ghazali Sulong
Abstract: With the rapid advancement of information and communication technology, the number of images and multimedia contents have increased drastically. Therefore, there is an urgent need for efficient storage and retrieval technique for digital images as well as multimedia contents. This study presents a new approach for storing and retrieval of binary images in a tree-like image data structure. The proposed approach works in three main stages, determining a unique primary low level binary image pattern, storing them into a tree-like image data structure and finally retrieving similar look images from the tree-like image data structure. By determining a set of unique primary low level binary image patterns there will be no redundant patterns are stored in the tree-like image data structure thus leading to tremendously save storage space while the retrieval of similar look image is simply accomplished by finding closest similar patterns inside the tree-like image data structure. The proposed approach provides tremendous saving in storage space and promising results to be used for fast image retrieval.
Muhammad Suzuri Bin Hitam, Pong Kuan Peng, Wan Nural Jawahir Hj Wan Yussof, Abdul Aziz K Abdul and Ghazali Sulong, 2018. A Tree-Like Image Representation for Efficient Image Storage and Retrieval. Journal of Engineering and Applied Sciences, 13: 7068-7073.