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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Kumar, C. Chauhan, S. Alla, R.N. |
| Copyright Year | 2015 |
| Description | Author affiliation: Dept. of Phys., Colorado State Univ., Fort Collins, CO, USA (Chauhan, S.) || Nat. Inst. of Stand. & Technol., Boulder, CO, USA (Kumar, C.) || Electr. Eng. Dept., Univ. of Colorado, Boulder, CO, USA (Alla, R.N.) |
| Abstract | In recent years, automatic visual inspection system has become useful tool in industrial process. The citrus fruit sorting and grading process has now been completely automated with the exception of the final stage of classification concerned with visual inspection. Due to the growing demand of quality citrus fruit, an automated and reliable identification and classification mechanism in order to handle the bulk of data is implemented. Human vision sometimes leads to mismatch between the fruits. Using machine vision system, it will be simple to reduce human effort and achieve a better output. The objective of this project is to assess the fruit by color grading. In this paper we describe an integrated system developed for the sorting on citrus fruit and for the color grading of the defected fruits. The result suggests that the performance is adequate to provide the basis for a viable commercial visual inspection system. The following project aims at implementing such an automated system using image processing with images of citrus fruit as a basis of classification depending on its color. The goal of the inspection is not to give a statistical analysis of the production but to classify every citrus fruit into quality constant batches. |
| Starting Page | 1743 |
| Ending Page | 1747 |
| File Size | 492247 |
| Page Count | 5 |
| File Format | |
| e-ISBN | 9781479980819 |
| DOI | 10.1109/ICCSP.2015.7322820 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-04-02 |
| Publisher Place | India |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Citrus fruits Visualization Correlation GLCM parameters Image processing Quality inspection Inspection Sorting Image color analysis Sorting and grading Machine vision Feature extraction Reliability |
| Content Type | Text |
| Resource Type | Article |
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