Open AccessImage Pre-Processing Algorithm for Ficus deltoidea Jack (Moraceae) Varietal Recognition: A Repeated Perpendicular Line Scanning Approach
Author(s) -
Ab. Nasir Ahmad Fakhri,
Alexandra Nordin,
Nashriyah Mat,
Mamat Abd Rasid,
Ahmad Shahrizan Abdul Ghani
Publication year - 2018
Publication title -
international journal of engineering and technology
Language(s) - English
Resource type - Journals
ISSN - 2227-524X
DOI - 10.14419/ijet.v7i2.15.11211
Subject(s) - petiole (insect anatomy) , moraceae , artificial intelligence , ficus , image processing , computer vision , tracing , binary image , feature (linguistics) , segmentation , computer science , image segmentation , pattern recognition (psychology) , image (mathematics) , mathematics , botany , biology , hymenoptera , linguistics , philosophy , operating system
Image pre-processing task is always the first crucial step in plant species recognition system which is responsible to keep precision of feature measurement process. Some of researchers have developed the image pre-processing algorithm to remove petiole section. However, the algorithm was developed using semi-automatic algorithm which is strongly believed to give an inaccurate feature measurement. In this paper, a new technique of automatic petiole section removal is proposed based on repeated perpendicular petiole length scanning concept. Four phases of petiole removal technique involved are: i) binary image enhancement, ii) boundary binary image contour tracing, iii) petiole section scanning, and iv) optimal image size retaining and cropping. The experiments are conducted using six varieties of Ficus deltoidea Jack (Moraceae) leaves. The experimental results indicate that the segmentation results are acceptably good since the digital leaf images have less than 1% of segmentation errors on several ground truth images.