Contrast Stretching and Non Linear Median Filters for Fabric Inspection
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Date
2011
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Abstract
In automatic fabric inspection, fabric image acquires
impulse noise due to malfunctioning in camera sensors, faulty
memory locations in hardware, or transmission via a noisy
channel. Eliminating such noise is an important preprocessing
task. The fabric image should be enhanced to achieve a high
interpretability of perception to detect defects. In this paper
contrast stretching, grey level thresholding and median fdters
are used to enhance the fabric image. The performances of these
methods are evaluated using Peak Signal to Noise Ratio (PSNR)
and Mean Square Error (MSE). The contrast stretching with
spatial median filter gives suitable results to enhance the
perception of defects.