Informatics Publishing Limited

L. Jayanthi ¹, K. Lakshmi ¹, A. Kovalan ¹

Affiliations
1 School of Computing Science and Engineering, Periyar Maniammai University, Thanjavur - 613403, Tamil Nadu, IN

Abstract

Background/Objectives: Retrieving visually similar images from image database needs high speed and accuracy. Various text and content based image retrieval techniques are being investigated by the researchers in order to exactly match the image features. Methods/Statistical Analysis: The proposed technique deals with Content Based Image Retrieval (CBIR) system by applying various image feature detection and matching techniques to investigate the retrieving efficiency of the image. The newness in the proposed research is that it extracts image features like texture, color and shape by combining various angular rotation and image segmentation techniques. With the output of the rotation and segmentation algorithm, color histograms, straight line and outline features including vertical, angled and horizontal lines are extracted. Findings: The accuracy and performance related issues listed in the previous works are overcome while the database images grow. The results obtained by the proposed system obviously confirm that Partitioning and rotating of image objects helps in retrieving many numbers of similar images from the database. Conclusion/Improvements: The proposed CBIR method is compared with our previously existed methodologies and found better in the retrieval accuracy. The retrieval time and accuracy are comparatively good than previous works proposed in CBIR system.

Keywords

CBIR, Image Features, Outline Color Histogram, Rotation Mechanism, Segmentation, Straight Line

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Selvakumar Samuel ¹, A. Kovalan ¹

Affiliations
1 Periyar Maniammai University, Vallam, Thanjavur - 613403, Tamil Nadu, IN

Abstract

Objectives: The main objective of this paper is to identify suitable programming concepts from Functional Programming paradigm concerning low resource devices development and eventually contribute an approach for design level optimization. Methods: Experiments have been conducted, CPU time and memory consumptions (Private Bytes) were measured. Findings: The research results indicated that Pattern Matching, Lazy, Curried, Tail Recursion, Functional Composition, Referential Transparency and Higher Order Functions with functions as parameters concepts consumed less CPU and memory resources compared to their alternative concepts. This paper suggests that the above mentioned concepts can be applied by any software engineering practitioners in designing resource efficient constructs for software applications. Applications: Using these guidelines substantial performance growth can be formed and at the same time, performance degradation issues can be easily avoided. Eventually, this paper contributes a way to optimize the Functional Programming design at design level.

Keywords

Functional Programming, Optimization, Programming Paradigms, Software Design Level Optimization and Mobile Computing.

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