Journal Press India^®

Author Details ( * ) denotes Corresponding author

The primary goal of a content-based image retrieval (CBIR) system is to quickly find the appropriate images from a vast image collection for use in real-time applications. The creation of both prominent picture characteristics and small dimensional features is closely related to the performance and efficacy of the CBIR system, respectively. As a result, in this paper, we have performed image retrieval with small dimensional salient image components or features compared to the original image size, and the image retrieval accuracy has been improved due to the consideration of local information rather than global information of image data. Not all pixels are necessary for feature extraction, so the quantization approach is used to begin the operation. Since grayscale photographs lack color information, we have carefully retrieved texture and shape features while considering the image’s directionalities and geometry. LBP and GLCM are used to extract the texture, and EDH and adaptive tetrolet transformation are used to capture the geometry at various levels. Through numerous benchmark databases, this technique has been verified.

Keywords

Content-Based Image Retrieval (CBIR); EDH; LBP; GLCM; Tetrolet

1. Filippini, Massimo, and Lester C. Hunt. (2011) “Energy demand and energy e ciency in the OECD countries: a stochastic demand frontier approach.” Energy Journal 32 (2): 59–80.


2. Filippini, Massimo, and Lester C. Hunt. (2012) “US residential energy demand and energy e ciency: A stochastic demand frontier approach.” Energy Economics 34 (5): 1484–1491.


3. Weyman-Jones, Thomas, J´ulia Mendonc¸a Boucinha, and Catarina Feteira In´acio. (2015) “Measuring electric energy e ciency in Portuguese households: a tool for energy policy.” Management of Environmental Quality: An International Journal 26 (3): 407–422.


4. Saunders, Harry (2009) “Theoretical Foundations of the Rebound E ect”, in Joanne Evans and Lester Hunt (eds) International Handbook on the Economics of Energy, Cheltenham, Edward Elgar


5. Sorrell, Steve (2009) “The Rebound E ect: definition and estimation”, in Joanne Evans and Lester Hunt (eds) International Handbook on the Economics of Energy, Cheltenham, Edward Elgar



 
6.