Contrast Stretching and Non Linear Median Filters for Fabric Inspection

Simple item page
dc.categoryJournal Article
dc.contributor.authorRadha, V
dc.date.accessioned2017-03-28T17:44:19Z
dc.date.available2017-03-28T17:44:19Z
dc.date.issued2011
dc.departmentComputer Scienceen_US
dc.description.abstractIn 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.en_US
dc.identifier.urihttps://ir.avinuty.ac.in/handle/avu/2195
dc.langEnglishen_US
dc.publisher.nameInternational Journal of Computer Science And Information Technologiesen_US
dc.publisher.typeInternationalen_US
dc.titleContrast Stretching and Non Linear Median Filters for Fabric Inspectionen_US
Files
Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
CS.international_2011_052.pdf
Size:
2.61 MB
Format:
Adobe Portable Document Format
Download
Collections
Journal Article