Digital Image Processing

P. V. N. Reddy ¹, K. Satya Prasad ²

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

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.

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Nagamani Modalavalasa ¹, G. Sasi Bhushana Rao ², K. Satya Prasad ³

Affiliations
1 Department of Electronics & Communication Engineering, State Board of Technical Education & Training, Andhra Pradesh, IN
2 Department of Electronics & Communication Engineering, Andhra University Engineering College, Visakhapatnam, AndhraPradesh, IN
3 Jawharlal Nehru Technological University, Kakinada, Andhra Pradesh, IN

Abstract

The SONAR (Sound Navigation and Ranging) images are perturbed by a multiplicative noise called speckle noise, due to the coherent nature of the scattering phenomenon. Removing noise from the SONAR image is still a challenging problem for researcher. There is no unique technique for image enhancement for noise reduction. Several approaches have been introduced and each has its own assumption, advantages and disadvantages. This paper proposes performance comparison of frequency domain filtering techniques such as low pass, high pass and band pass filters based on fast fourier transform method for the removal of underwater speckle noise from the real Sector Scan SONAR images. These three filters are compared by computing the error metrics such as Peak Signal to Noise Ratio (PSNR) and Mean Square Error (MSE). Low pass filter is found to be the suitable filter in frequency domain which tends to reduce the speckle, preserving the structural features and textural information of the scene.

Keywords

Mean Square Error (MSE), Peak Signal to Noise Ratio (PSNR), SONAR Images, Speckle Noise.

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