A Survey on Image Processing Techniques for Seeds Classification

被引：2

作者：

Singh, Simranjeet ^{[1
]}

Singh, Parminder ^{[1
]}

Kaur, Avinash ^{[1
]}

机构：

[1] Lovely Profess Univ, Dept Comp Sci & Engn, Phagwara, India

来源：

2018 4TH INTERNATIONAL CONFERENCE ON COMPUTING SCIENCES (ICCS) | 2018年

关键词：

Computational Intelligence; Image Processing; Fuzzy; Feature Extraction; Neural Networks; Seed Classification;

D O I：

10.1109/ICCS.2018.00032

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Agriculture is the department which has shown a rapid growth. Due to this growth today we have a lot of variety of seeds which belongs to the same breed, which may be a result of breed crossover. Now, this has become a challenge to classify the seeds from each other. In another contrast, we have some healthy seeds and some of the seeds becomes defected. One way of separating them from the healthy seeds was, do manually by a team of experts and some manual systems, which is a time consuming and laborious task. So there was need to build a automatic / intelligent system which classify them on the basis of some fixed parameters like shape, length, height, perimeter etc. This paper shows various techniques available for doing the same.

引用

页码：143 / 150

页数：8

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