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Image skew correction tool

Loh, Feng Mei (2017) Image skew correction tool. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

This system is developed for the people who want to manage their photos effectively and to enhance the presentation of images to become readable. Nowadays, people like to take photos for their documents in their daily life in order to record the document easily. However, many of them having problems to manage their photos since they might have hundreds of number of photos and skew images. The skew images will affect the visibility of document and make people hard to read. When they want to enhance the skew images, they will find the software to do that. Currently, Adobe Photoshop is one of the most well-known images editors to enhance the images. However, Adobe Photoshop will be perfect for designer and it is a burden for beginner. There still some images editors in the market but those do not provide an effective images management. Besides, the process of enhancing their images is also exhausted since they have to edit the images manually and this will require a lot of effort to done it. Hence, the purpose of this project is to provide an alternative platform for the users to manage their images and also to provide an effective ways to enhance the skew angle of photo. By displaying images in correct orientation, users will have a better view experience of their images. The Image Skew Correction Tool will provide an automatic skew angle correction for images. User only needs to upload their images and the system will perform the operation. After that the images are saved into file at the local storage. The methodology used in this project is waterfall model, this is because waterfall model is simple and easy to understand, use and manage. The expected outcome for this project is users are able to manage their photos effectively and enhance it easily.

Item Type: Final Year Project (Project Report)
Uncontrolled Keywords: Photos, Editors, Adobe Photoshop
Subjects: Q Science > QA Mathematics
Divisions: Library > Final Year Project > FTMK
Depositing User: Sabariah Ismail
Date Deposited: 30 May 2024 03:39
Last Modified: 30 May 2024 03:39
URI: http://digitalcollection.utem.edu.my/id/eprint/31657

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