Digital Image Processing

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Inter Color Local Ternary Patterns for Image Indexing and Retrieval


Affiliations
1 Electronics and Communication Engineering Department in Jawharlal Nehru Technological University, Kakinada, Iceland
2 Electronica and Communication Engineering Department in Jawarlal Nehru Technological University, Kakinada, India
     

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Content Based Image Retrieval (CBIR) system using Inter Color Local Ternary Patterns (ICLTP) based features with high retrieval rate and less computational complexity is proposed in this paper. The property of LTP is, it extracts the information based on distribution of edges in an image. This property made it a powerful tool for feature extraction of images in the data base. First the image is separated into red(R), green(G), and blue(B) color spaces, and these are used for inter color local ternary patterns (ICLTP), which are evaluated by taking into consideration of local difference between the center pixel and its neighbors by changing center pixels of one color plane with other color planes. Improved results in terms of computational complexity and retrieval efficiency are observed over recent work based on Local Binary Pattern (LBP) based CBIR system. The d1distance is used as similarity measure in the proposed CBIR system.

Keywords

CBIR, Feature Extraction, Local Binary Patterns, and Inter Color Local Ternary Patterns.
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  • Inter Color Local Ternary Patterns for Image Indexing and Retrieval

Abstract Views: 232  |  PDF Views: 2

Authors

P. V. N. Reddy
Electronics and Communication Engineering Department in Jawharlal Nehru Technological University, Kakinada, Iceland
K. Satya Prasad
Electronica and Communication Engineering Department in Jawarlal Nehru Technological University, Kakinada, India

Abstract


Content Based Image Retrieval (CBIR) system using Inter Color Local Ternary Patterns (ICLTP) based features with high retrieval rate and less computational complexity is proposed in this paper. The property of LTP is, it extracts the information based on distribution of edges in an image. This property made it a powerful tool for feature extraction of images in the data base. First the image is separated into red(R), green(G), and blue(B) color spaces, and these are used for inter color local ternary patterns (ICLTP), which are evaluated by taking into consideration of local difference between the center pixel and its neighbors by changing center pixels of one color plane with other color planes. Improved results in terms of computational complexity and retrieval efficiency are observed over recent work based on Local Binary Pattern (LBP) based CBIR system. The d1distance is used as similarity measure in the proposed CBIR system.

Keywords


CBIR, Feature Extraction, Local Binary Patterns, and Inter Color Local Ternary Patterns.