Non-Destructive Analysis of Defected Portions of Fruits Using Integrated Segmentation Process

被引:0
|
作者
Yogesh [1 ]
Ahmed, Ashad [1 ]
Ali, Iman [1 ]
机构
[1] Amity Univ, Elect & Commun Engn, Amity Sch Engn & Technol, Noida, Uttar Pradesh, India
关键词
Watershed segmentation; k-means clustering; Multilevel thresholding; Jaccard index; Dice index;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Image Segmentation has been proved to be one of the best techniques for performing image analysis and feature detection of region of interest of an image. Image segmentation provides a non-destructive method for the study of fruits and vegetables. At times it becomes necessary to study the defected portions of a fruit in order to determine the root cause of the defect. Determining the reasons of defect allow us to improve the productivity of the particular product under consideration. In this paper three methods have been proposed which are able to segment out the defected portion of a sample fruit. Shape of the defected portion has been of prime interest. However it will be seen that each of the proposed method has its own application in providing the final output image. The choice of any of the proposed methods depends on the required parameters to be extracted. Images of apples with defects have been taken as sample images in this paper however the proposed methods can be applied in general on any fruit or vegetable.
引用
收藏
页码:433 / 440
页数:8
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