Infected Fruit Part Detection using K-Means Clustering Segmentation Technique

  title={Infected Fruit Part Detection using K-Means Clustering Segmentation Technique},
  author={Shiv Ram Dubey and Pushkar Dixit and Nishant Singh and Jay Prakash Gupta},
— Nowadays, overseas commerce has increased drastically in many countries. Plenty fruits are imported from the other nations such as oranges, apples etc. Manual identification of defected fruit is very time consuming. This work presents a novel defect segmentation of fruits based on color features with K-means clustering unsupervised algorithm. We used color images of fruits for defect segmentation. Defect segmentation is carried out into two stages. At first, the pixels are clustered based on… CONTINUE READING
Highly Cited
This paper has 50 citations. REVIEW CITATIONS
30 Citations
14 References
Similar Papers


Publications citing this paper.
Showing 1-10 of 30 extracted citations

51 Citations

Citations per Year
Semantic Scholar estimates that this publication has 51 citations based on the available data.

See our FAQ for additional information.


Publications referenced by this paper.
Showing 1-10 of 14 references

Similar Papers

Loading similar papers…