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Analysis and Review of Chest Radiograph Enhancement Techniques

Keywords: Bayesian network , particle swarm optimization , fitness function , structure learning , velocity

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Abstract:

Chest radiograph inherently display wide dynamic range of X ray intensities. A wide variety of preprocessing procedures for chest radiograph based on local equalization, sharpening, fuzzy set, neural network and combination of modification of these techniques have been proposed. In this paper we have made analysis of twelve different techniques specifically derived and tested for enhancement of chest X ray giving brief details of working of algorithm. Radiology department are staring use central system to store digital chest radiograph. This provides opportunity to use chest workstation with different enhancement algorithm that run in background and radiologist may view a patient radiograph using different enhancement algorithm for subsequent analysis. Enhancement algorithm should be selected based on radiologist requirement and disease specific. Hence it is necessary to make review and analysis of available chest radiograph enhancement technique.

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