Deep learning and image processing algorithms for tree defect detection

Abstract

This paper is the final report for the final year project titled ‘Deep Learning and Image Processing Algorithms for Tree Defect Detection’. The main purpose of this report is to document all the experiments that was conducted throughout the whole project progress. The results that were obtained will also be documented down in this report. This report is 33 pages long excluding the cover page, abstract, content page, reference, and appendix. The main aim of this project is to produce an algorithm that will speed up the detection of defective trees, so as to minimize the possible casualties from trees falling.