Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/2268
Full metadata record
DC FieldValueLanguage
dc.contributor.authorK, Geethalakshmi-
dc.date.accessioned2020-10-23T04:57:06Z-
dc.date.available2020-10-23T04:57:06Z-
dc.date.issued2017-11-16-
dc.identifier.urihttp://localhost:8080/xmlui/handle/123456789/2268-
dc.description.abstractDigital Image Processing is always an interesting field as it gives improved pictorial information for human interpretation & processing of image data for storage, transmission and representation for machine perception. Image processing is a technique to enhance raw images received from cameras/sensors placed on satellites, space probes and aircrafts or pictures taken in normal day-to-ay life for various applications. This field of image processing significantly improved in recent times and extended to various fields of science & technology. The Image Processing mainly deals with image acquisition, Image Enhancement, Image Segmentation, Feature Extraction, and Image Classification. A number of Image Processing techniques, in addition to enhancement techniques can be applied to improve the data usefulness. Techniques include convolution edge detection, mathematics, filters, trend removal & image analysis. The various image enhancements and image processing techniques will be discussed in this paper.en_US
dc.language.isoenen_US
dc.publisherSt.Aloysius Collegeen_US
dc.subjectImage Processingen_US
dc.subjectImage Enhancementen_US
dc.subjectImage Segmentationen_US
dc.subjectFeature Extractionen_US
dc.subjectImage Classificationen_US
dc.titleSTUDY ON IMAGE PROCESSING AND SEGMENTATION TECHNIQUESen_US
dc.title.alternativeAdvanced IT,Enginering ands managementen_US
dc.typeBooken_US
Appears in Collections:International Conference

Files in This Item:
File Description SizeFormat 
STUDY ON IMAGE PROCESSING AND SEGMENTATION TECHNIQUES.docx10.67 kBMicrosoft Word XMLView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.