DSpace Repository

Image Base Leaf Classification

Show simple item record

dc.contributor.author Adeel Akhtar, 01-134121-003
dc.contributor.author Muhammad Shujaat, 01-134121-003
dc.date.accessioned 2017-05-23T07:03:53Z
dc.date.available 2017-05-23T07:03:53Z
dc.date.issued 2016
dc.identifier.uri http://hdl.handle.net/123456789/956
dc.description Supervised by Dr. Sumaira Kausar en_US
dc.description.abstract "A picture is worth a thousand words" In today’s world, life has become very fast and busy. To relax and attaint peace of mind people visit places of nature. It is often seen that these nature explorers and tourists are very fond of the natural environment. They are curious about the rocks, the leaf or the trees they discover and want to know about them. The application developed in this project, facilitates the interests of these nature explorers. By using the application developed in this project the user will be able to view the information about leaf. The technique that we are using first extracts the feature set of training leaf images by using open CV functions, and after training of these features we apply it on leaf image, then compare it with dataset using Kn’ns Algorithm. The resulted output is able to provide information about the usage in herbal and belonging of that leaf. en_US
dc.language.iso en en_US
dc.publisher Bahria University Islamabad Campus en_US
dc.relation.ispartofseries BS (CS);P-5387
dc.subject Computer Sciences. en_US
dc.title Image Base Leaf Classification en_US
dc.type Project Reports en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search DSpace


Advanced Search

Browse

My Account