Show simple item record

dc.contributor.authorTrongtirakul, Thaweesak
dc.contributor.authorSunthron, Viriya
dc.date.accessioned2014-06-27T11:02:49Z
dc.date.available2014-06-27T11:02:49Z
dc.date.issued2014-06-27
dc.identifier.urihttp://repository.rmutp.ac.th/123456789/1311
dc.identifier.urihttp://repository.rmutp.ac.th/handle/123456789/1311
dc.descriptionรายงานการวิจัย--มหาวิทยาลัยเทคโนโลยีราชมงคลพระนคร, 2556en_US
dc.description.abstractImage enhancement is one of using in various digital signal processing areas. Advances in microcontrollers, DSP boards and computers have been developed traditional algorithms to improve the quality of the resulting image. This paper aims to present the contrast enhancement using weighted bi-histogram equalisation. In additional, this technique must use two weighted factors which is calculated by the histogram distribution ratio. Likewise, an original image will be equalised by the modification of the probability density function of the gray levels. As the experimental results, the contrasts of resulting images are improved for robot vision, implement, and human perception including absolute mean brightness error (AMBE) limitation.en_US
dc.description.sponsorshipRajamangala University of Technology Phraen_US
dc.language.isothen_US
dc.subjectdigital imagesen_US
dc.subjectImage Processingen_US
dc.subjecthistogramen_US
dc.subjectภาพดิจิตอลen_US
dc.subjectการประมวลผลภาพen_US
dc.subjectฮีตโตแกรมen_US
dc.titleImage enhancement with mean brightness preserving using weighted histogram equalization based on Its area ratioen_US
dc.typeResearch Reporten_US
dc.contributor.emailauthorarit@rmutp.ac.th


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record