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Murthy, V.S.V.S., Vamsidhar, E., Kumar, J.N.V.R.S. and Sankara Rao, P. (2012) Content Based Image Retrieval Using Hierarchical and K-Means Clustering Techniques. International Journal of Engineering Science and Technology, 2, 209-212.

has been cited by the following article:

• TITLE: Colour Features Extraction Techniques and Approaches for Content-Based Image Retrieval (CBIR) System

  AUTHORS: Muhammad Naim Abdullah, Mohd Afizi Mohd Shukran, Mohd Rizal Mohd Isa, Nor Suraya Mariam Ahmad, Mohammad Adib Khairuddin, Mohd Sidek Fadhil Mohd Yunus, Fatimah Ahmad

  KEYWORDS: Content-Based Image Retrieval, Colour Features, CBIR

  JOURNAL NAME: Journal of Materials Science and Chemical Engineering, Vol.9 No.7, July 28, 2021

  ABSTRACT: An image retrieval system was developed purposely to provide an efficient tool for a set of images from a collection of images in the large database that matches the user’s requirements in similarity evaluations such as image content similarity, edge, and colour similarity. Retrieving images based on the contents which are colour, texture, and shape is called content-based image retrieval (CBIR). This paper discusses and describes about the colour features technique for image retrieval systems. Several colour features technique and algorithms produced by the previous researcher are used to calculate the similarity between extracted features. This paper also describes about the specific technique about the colour basis features and combined features (hybrid techniques) between colour and shape features.