Feature Extraction Framework for CBIR Systems based on Cyclic Transform Analysis & Spatial Information

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SHAFEI SHAHIN; VAHDATI HAMID; SEDGHI TOHID; Charmin Asghar

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Journal Paper

Paper Information

Journal: JOURNAL OF COMMUNICATION ENGINEERING Year:2022 | Volume:11 | Issue:44 Page(s): 1-8

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Title

Feature Extraction Framework for CBIR Systems based on Cyclic Transform Analysis & Spatial Information

Author(s)

SHAFEI SHAHIN | VAHDATI HAMID | SEDGHI TOHID | Charmin Asghar | Issue Writer Certificate

Keywords

Cyclic Transform Analysis

CBIR

Pattern Recognition

Retrieval

Abstract

A novel framework of feature generation for Content based image Retrieval (CBIR) is proposed. This system is realized on Cyclic Transform Analysis (CTA). It introduces statistical descriptors in the signals frequency domain. Then the CT of data is computed by Semi supervised algorithm (SSA) which is a simple & efficient algorithm. Presented Features are Norm-1 & energy CTA extracted from different sections of bi-frequency plane. This layout illustrates good characteristics of large-scale database. In addition, this manuscript illustrates a novel framework for generating textural and spatial information, and higher Retrieval percentages. The textural features extracted with the proposed CTA utilizing first & second moments among the image tiles are so effective in the data processing. Spatial information is extracted utilizing decent field matrix (DFM). After that, moments are computed from DFM to get spatial features. The composition of the textural features and conjunction with the spatial information leads to a fantastic features matrix for Retrieval. The experimental results on large-scale database guarantee the method efficiency on all classes of the database with more than 10000 images. For measuring the distance of features a simple matching system based on Minkowski & Canberra distances is introduced. The results are compared with previous scholars and the Retrieval percentage is increased more than 10% in comparison with previous systems.

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APA: Copy

SHAFEI, SHAHIN, VAHDATI, HAMID, SEDGHI, TOHID, & Charmin, Asghar. (2022). Feature Extraction Framework for CBIR Systems based on Cyclic Transform Analysis & Spatial Information. JOURNAL OF COMMUNICATION ENGINEERING, 11(44 ), 1-8. SID. https://sid.ir/paper/966646/en

Vancouver: Copy

SHAFEI SHAHIN, VAHDATI HAMID, SEDGHI TOHID, Charmin Asghar. Feature Extraction Framework for CBIR Systems based on Cyclic Transform Analysis & Spatial Information. JOURNAL OF COMMUNICATION ENGINEERING[Internet]. 2022;11(44 ):1-8. Available from: https://sid.ir/paper/966646/en

IEEE: Copy

SHAHIN SHAFEI, HAMID VAHDATI, TOHID SEDGHI, and Asghar Charmin, “Feature Extraction Framework for CBIR Systems based on Cyclic Transform Analysis & Spatial Information,” JOURNAL OF COMMUNICATION ENGINEERING, vol. 11, no. 44 , pp. 1–8, 2022, [Online]. Available: https://sid.ir/paper/966646/en

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