Shodhganga : a reservoir of Indian theses @ INFLIBNET
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http://hdl.handle.net/10603/449431
| Title: | Object extraction in a quantum inspired soft computing environment |
| Researcher: | Pal, Pankaj |
| Guide(s): | Bhattacharyya, Siddhartha |
| Keywords: | Computer Science Computer Science Software Engineering Engineering and Technology Intelligent control systems |
| University: | Maulana Abul Kalam Azad University of Technology |
| Completed Date: | 2021 |
| Abstract: | Differentkindsofnoiseremovalintelligenttechniquesarebeingusedtoex- newlinetract objectsbymeansofremovalofnoiseartifacts.Amongtheintelligenttools newlinein vogue,theMulti-LayerSelfOrganizingNeuralNetworkarchitecture(ML- newlineSONN) architectureisefficientinextractingobjectsfromblurredandnoisybi- newlinenary images.Grayscaleimagesaresegmentedusingthenetworkbyresorting newlineto amultilevelsigmoidalactivationfunctionsoastoelicitnetworkresponses newlineto allpossiblegrayscales.AparallelMulti-LayerSelfOrganizingNeuralNet- newlinework architecture(PSONN)comprisingthreeparallelMulti-LayerSelfOrganiz- newlineing NeuralNetworkarchitectureswith/withoutmultilevelsigmoidalactivation newlinefunctions canbeusedtoextractpureandtruecolornoisyimages. newlineIn thisthesis,aquantumversionoftheMLSONNarchitectureisproposedtoex- newlinetract andsegmentnoisyimages.TheproposedQMLSONNnetworkarchitecture newlinecomprises threedifferentlayersviz.inputlayer,hiddenlayerandoutputlayer newlineenvisaged by qubit neurons,whereeach qubit neuronineachlayercorresponds newlineto eachpixeloftheinputimage.Theinterconnectionweightsbetweenthediffer- newlineent layersarerepresentedasquantumrotationgates.The qubit neuronhasthe newlineability toextracttheobjectsbyresortingtotheprincipleofquantumsuperposi- newlinetion. newlineThe qubit neuronsofthethreenetworklayersprocesstheimageinformationus- newlineing quantumrotationgatesasinterconnectionweightsguidedbyaquantum newlinebackpropagationalgorithm.Attheoutputlayer,aquantummeasurementis newlineused todestroythequantumstatestoyieldnetworkoutputswhiletheinter- newlineconnection weightsareadjustedusingaquantumbackpropagationalgorithm. newlineA parallelversionoftheproposedarchitecturecomprisingthreeindependent newlineQMLSONN architectures(referredtoasQPSONN)witheacharchitectureen- newlinetrustedforprocessingthethreeindividualprimarycolorcomponents(R,G,B), newlineis alsoproposedtoextractcolorobjectsfrompurecolornoisyimages. newlineA functionalmodificationoftheproposedQMLSONNarchitectureisachieved newlineby incorporatingaMultilevelSigmoidal(MUSIG)activationfunctionsothatthe newlinenetwork isabletosegmentmultilevelgrayscaleimages.Onsimilarlines,the newlineQPSONN architectureisalsomodifiedbyincorporatingmultilevelcharacte |
| Pagination: | xxiv,184p |
| URI: | http://hdl.handle.net/10603/449431 |
| Appears in Departments: | School of Engineering & Technology |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 01_title page.pdf | Attached File | 27.23 kB | Adobe PDF | View/Open |
| 02_prelim_pages.pdf | 118.82 kB | Adobe PDF | View/Open | |
| 03_content.pdf | 31.63 kB | Adobe PDF | View/Open | |
| 04_abstract.pdf | 30.56 kB | Adobe PDF | View/Open | |
| 05_chapter 1.pdf | 479.32 kB | Adobe PDF | View/Open | |
| 06_chapter 2.pdf | 160.17 kB | Adobe PDF | View/Open | |
| 07_chapter 3.pdf | 1.68 MB | Adobe PDF | View/Open | |
| 08_chapter 4.pdf | 497.57 kB | Adobe PDF | View/Open | |
| 09_chapter 5.pdf | 1.27 MB | Adobe PDF | View/Open | |
| 10_chapter 6.pdf | 433.15 kB | Adobe PDF | View/Open | |
| 11_chapter 7.pdf | 59.59 kB | Adobe PDF | View/Open | |
| 80_recommendation.pdf | 78.26 kB | Adobe PDF | View/Open |
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