Image Segmentation and Grain Size Measurements of Palm Kernel Shell Powder

Omolayo M. Ikumapayi*, Esther T. Akinlabi

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)


Image segmentation is one of the essential tools to determine the foreground from background and at the same time enhance visual perception for better understanding through image manipulation. It is very useful for pattern recognition and image processing. This enables users to determine the high quality and high resolutions of the final result of the analysis. In this present study, PKS-Powder has been characterized with the use of Scanning Electron Microscopy (SEM), and Energy Dispersive X-ray (EDX) analyses. Digital Vibratory milling machine was employed for the mechanical milling at the time interval of 0, 10, 15 and 20 min. ImageJ software was employed for image processing by sectioning an image into various regions using thresholding segmentation method. It was revealed that at 0 min (i.e. 300 µm sieved), it has the highest mean area value of 127.169 µm2 and area standard deviation of 4,091.487 µm2 with the least value of a number of particle size distribution of 458 µm. In contrast, 20 min milled has the lowest values for mean area and area standard deviation of 52.913 µm2 and 795.413 µm2 respectively with the highest number of particle size distribution of 1,315 µm. It was observed that milling time increases the number of particle sizes distributions and reduces the area of particle size. EDX analysis revealed that Ca, Al, Si, Fe, C, K, and O are the main elemental constituents of PKS-powder.

Original languageEnglish
Title of host publicationAdvances in Material Sciences and Engineering, ICMMPE 2018
EditorsMokhtar Awang, Seyed Sattar Emamian, Farazila Yusof
Number of pages10
ISBN (Print)9789811382963
Publication statusPublished - 2020
Externally publishedYes
Event4th International Conference on Mechanical, Manufacturing and Plant Engineering, ICMMPE 2018 - Melaka, Malaysia
Duration: 14 Nov 201815 Nov 2018

Publication series

NameLecture Notes in Mechanical Engineering
ISSN (Print)2195-4356
ISSN (Electronic)2195-4364


Conference4th International Conference on Mechanical, Manufacturing and Plant Engineering, ICMMPE 2018

Cite this