Egg's Diameter Detection Using Fuzzy C-Means and Iterative Random Hough Transform

被引:0
作者
Ayu, Putu Desiana Wulaning [1 ]
Pradipta, Gede Angga [2 ]
机构
[1] STMIK STIKOM Bali, Manajemen Informat Dept, Bali, Indonesia
[2] STMIK STIKOM Bali, Dept Informat Syst, Bali, Indonesia
来源
2017 1ST INTERNATIONAL CONFERENCE ON INFORMATICS AND COMPUTATIONAL SCIENCES (ICICOS) | 2017年
关键词
Fuzzy C-Means; Iterative Random Hough Transform; Diameter; Segmentation; ULTRASOUND IMAGES;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A process to determine the egg quality is mostly made manually by most of breeders. Separation of eggs from qualified eggs reduces visual control difficulties which are done using human power as well as ensures improvement on the quality control process. Qualified is conducted by sorting each egg in accordance with the diameter. Diameter can be divided into 2 types: minor diameter and major diameter. This paper is to discuss how to determine the size of the diameter major and diameter minor automatically. Fuzzy C-Means method was used to result in the segmentation of images and the Iterative Random Hough Transform method was used to seek the major and minor diameter of the image from the segmentation result. The result of the research showed accuration average for detecting mayor diameter is 73.40% and 86.26 % for minor diameter and conducting from 50 sample eggs.
引用
收藏
页码:53 / 58
页数:6
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