Abstract
With an advent of technologya huge collection of digital images is formed as repositories on world wide web (WWW). The task of searching for similar images in the repository is difficult. In this paper, retrieval of similar images from www is demonstrated with the help of combination of image features as color and shape and then using Siamese neural network which is constructed to the requirement as a novel approach. Here, one-shot learning technique is used to test the Siamese Neural Network model for retrieval performance. Various experiments are conducted with both the methods and results obtained are tabulated. The performance of the system is evaluated with precision parameter and which is found to be high.Also, relative study is made with existing works.
Cite
CITATION STYLE
Content based Image Retrieval System using Combination of Color and Shape Features, and Siamese Neural Network. (2019). International Journal of Innovative Technology and Exploring Engineering, 9(2S), 71–77. https://doi.org/10.35940/ijitee.b1053.1292s19
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.