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dc.contributor.authorMoslem Taghizadeh
dc.contributor.authorMahboobeh Hajipoor
dc.date.accessioned2012-08-03T08:53:40Z
dc.date.available2012-08-03T08:53:40Z
dc.date.issued2012-02-27
dc.identifier.urihttp://dspace.unimap.edu.my/123456789/20576
dc.descriptionInternational Conference on Man Machine Systems (ICoMMS 2012) organized by School of Mechatronic Engineering, co-organized by The Institute of Engineer, Malaysia (IEM) and Society of Engineering Education Malaysia, 27th - 28th February 2012 at Bayview Beach Resort, Penang, Malaysia.en_US
dc.description.abstractWe propose a robust edge detection method based on ICA-domain shrinkage1 (independent component analysis). It is known that most basis functions extracted from natural images by ICA are sparse and similar to localized and oriented receptive fields, and in the proposed edge detection method, a target image is first transformed by ICA basis functions and then the edges are detected or reconstructed with sparse components. Furthermore, by applying a shrinkage algorithm to filter out the components of noise in ICA-domain, we can readily obtain the sparse components of the original image, resulting in a kind of robust edge detection even for a noisy image with a very low SN ratio. The efficiency of the proposed method is demonstrated by experiments with some natural images.en_US
dc.language.isoenen_US
dc.publisherUniversiti Malaysia Perlis (UniMAP)en_US
dc.relation.ispartofseriesProceedings of the International Conference on Man-Machine Systems (ICoMMS 2012)en_US
dc.subjectIndependent component analysisen_US
dc.subjectEdge detectionen_US
dc.subjectShrinkage functionen_US
dc.subjectPoisson noiseen_US
dc.titleA novel hybrid edge detection algorithm based on wavelet thresholding and ICAen_US
dc.typeWorking Paperen_US
dc.publisher.departmentSchool of Mechatronic Engineeringen_US
dc.contributor.urltaghizadeh.uni@gmail.comen_US
dc.contributor.urlma.hajipoor@gmail.comen_US


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