Comprehensive pineapple segmentation techniques with intelligent convolutional neural network

• Main Authors: Ahmed Nawawi, Muhammad Azmi, Ismail, Fatimah Sham, Selamat, Hazlina
• Format: Article
• Language: English
• Published: Institute of Advanced Engineering and Science 2018
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utm.my/id/eprint/85839/1/FatimahShamIsmail2018_ComprehensivePineappleSegmentationTechniques.pdf; http://eprints.utm.my/id/eprint/85839/; http://dx.doi.org/10.11591/ijeecs.v10.i3.pp1098-1105
• Institution: Universiti Teknologi Malaysia

This paper proposes an intelligent segmentation technique for pineapple fruit using Convolutional Neural Network (CNN). Cascade Object Detector (COD) method is used to detect the position of the pineapple from the captured image by returning the bounding box around the detecting pineapple. Image bac...