ACCURATE FRUITS FAULT DETECTION IN AGRICULTURAL PRODUCTS USING AN EFFICIENT ALGORITHM

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

SABERKARI HAMIDREZA

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: INTERNATIONAL JOURNAL OF AGRICULTURAL MANAGEMENT AND DEVELOPMENT (IJAMAD) Year:2016 | Volume:6 | Issue:2 Page(s): 181-192

Download Full-Text

Persian Verion

View:

660

Download:

142

Cites:

Information Journal Paper

Title

ACCURATE FRUITS FAULT DETECTION IN AGRICULTURAL PRODUCTS USING AN EFFICIENT ALGORITHM

Author(s)

SABERKARI HAMIDREZA | Issue Writer Certificate

Keywords

FAULTQ1

DCT TRANSFORMQ1

NOISEQ1

IMAGE PROCESSINGQ1

Abstract

The main purpose of this paper was to introduce an efficient algorithm for FAULT identification in fruits images. First, input image was de-noised using the combination of Block Matching and 3D filtering (BM3D) and Principle Component Analysis (PCA) model. Afterward, in order to reduce the size of images and increase the execution speed, refined Discrete Cosine Transform (DCT) algorithm was utilized. Finally, for segmentation, fuzzy clustering algorithm with spatial information was applied on the compressed image. Implementation results in MATLAB environment and based on the gathered data showed that the proposed algorithm contains a good capability in de-noising. Also, in the proposed method, identification accuracy of FAULTy regions in fruit was higher than other methods. The major advantage of the proposed method was its high speed which makes it appropriate for real time applications.

Cites

No record.

References

Cite

APA: Copy

SABERKARI, HAMIDREZA. (2016). ACCURATE FRUITS FAULT DETECTION IN AGRICULTURAL PRODUCTS USING AN EFFICIENT ALGORITHM. INTERNATIONAL JOURNAL OF AGRICULTURAL MANAGEMENT AND DEVELOPMENT (IJAMAD), 6(2), 181-192. SID. https://sid.ir/paper/247428/en

Vancouver: Copy

SABERKARI HAMIDREZA. ACCURATE FRUITS FAULT DETECTION IN AGRICULTURAL PRODUCTS USING AN EFFICIENT ALGORITHM. INTERNATIONAL JOURNAL OF AGRICULTURAL MANAGEMENT AND DEVELOPMENT (IJAMAD)[Internet]. 2016;6(2):181-192. Available from: https://sid.ir/paper/247428/en

IEEE: Copy

HAMIDREZA SABERKARI, “ACCURATE FRUITS FAULT DETECTION IN AGRICULTURAL PRODUCTS USING AN EFFICIENT ALGORITHM,” INTERNATIONAL JOURNAL OF AGRICULTURAL MANAGEMENT AND DEVELOPMENT (IJAMAD), vol. 6, no. 2, pp. 181–192, 2016, [Online]. Available: https://sid.ir/paper/247428/en

Related Journal Papers