Identifying Irregular Potatoes by Developing an Intelligent Algorithm Based on Image Processing
The objective of this study was to develop an algorithm based on image processing for detecting misshapen potatoes from the mass of potatoes and obtaining homogeneous products. The database used in this research included the digital images acquired from Agria variety of Ardabil Iranian northern-wes...
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| Format: | Article |
| Language: | English |
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Ankara University
2016-01-01
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| Series: | Journal of Agricultural Sciences |
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| Online Access: | https://dergipark.org.tr/tr/download/article-file/1569108 |
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| author | Afshin Azızı Yousef Abbaspour-gılandeh |
| author_facet | Afshin Azızı Yousef Abbaspour-gılandeh |
| author_sort | Afshin Azızı |
| collection | DOAJ |
| description | The objective of this study was to develop an algorithm based on image processing for detecting misshapen potatoes from the mass of potatoes and obtaining homogeneous products. The database used in this research included the digital images acquired from Agria variety of Ardabil Iranian northern-west potato with different sizes and shapes. A combination of morphological features including geometrical features like length, width and features related to shape such as roundness were taken into consideration in identifying irregular potatoes from others employing elongation and Fourier descriptors. Using statistical principal component analysis PCA , seven features were selected as the most prominent for classification. The experimental results showed that the proposed method achieves a high level of accuracy with merely seven selected discriminative features, obtaining an average correct classification rate of 98% for training set. Additionally, regular potatoes were separated into small, medium and large categories with 100% accuracy. According to the results, the developed algorithm based on image processing can be used in classifying products with no proper shape |
| format | Article |
| id | doaj-art-4e439db6c2f34dd99e2cc17d91f2ace9 |
| institution | DOAJ |
| issn | 1300-7580 2148-9297 |
| language | English |
| publishDate | 2016-01-01 |
| publisher | Ankara University |
| record_format | Article |
| series | Journal of Agricultural Sciences |
| spelling | doaj-art-4e439db6c2f34dd99e2cc17d91f2ace92025-08-20T03:19:23ZengAnkara UniversityJournal of Agricultural Sciences1300-75802148-92972016-01-01221324110.1501/Tarimbil_000000136545Identifying Irregular Potatoes by Developing an Intelligent Algorithm Based on Image ProcessingAfshin Azızı0Yousef Abbaspour-gılandeh1University of Mohagheghe Ardabili, Faculty of Agricultural Technology and Natural Resources, Department of Mechanics of Agricultural Machinery, Ardabil, IRANUniversity of Mohagheghe Ardabili, Faculty of Agricultural Technology and Natural Resources, Department of Mechanics of Agricultural Machinery, Ardabil, IRANThe objective of this study was to develop an algorithm based on image processing for detecting misshapen potatoes from the mass of potatoes and obtaining homogeneous products. The database used in this research included the digital images acquired from Agria variety of Ardabil Iranian northern-west potato with different sizes and shapes. A combination of morphological features including geometrical features like length, width and features related to shape such as roundness were taken into consideration in identifying irregular potatoes from others employing elongation and Fourier descriptors. Using statistical principal component analysis PCA , seven features were selected as the most prominent for classification. The experimental results showed that the proposed method achieves a high level of accuracy with merely seven selected discriminative features, obtaining an average correct classification rate of 98% for training set. Additionally, regular potatoes were separated into small, medium and large categories with 100% accuracy. According to the results, the developed algorithm based on image processing can be used in classifying products with no proper shapehttps://dergipark.org.tr/tr/download/article-file/1569108sınıflandırmagörüntü işlemeşekil bozukluğupatatesbiçimclassificationimage processingirregularitypotatoshape |
| spellingShingle | Afshin Azızı Yousef Abbaspour-gılandeh Identifying Irregular Potatoes by Developing an Intelligent Algorithm Based on Image Processing Journal of Agricultural Sciences sınıflandırma görüntü işleme şekil bozukluğu patates biçim classification image processing irregularity potato shape |
| title | Identifying Irregular Potatoes by Developing an Intelligent Algorithm Based on Image Processing |
| title_full | Identifying Irregular Potatoes by Developing an Intelligent Algorithm Based on Image Processing |
| title_fullStr | Identifying Irregular Potatoes by Developing an Intelligent Algorithm Based on Image Processing |
| title_full_unstemmed | Identifying Irregular Potatoes by Developing an Intelligent Algorithm Based on Image Processing |
| title_short | Identifying Irregular Potatoes by Developing an Intelligent Algorithm Based on Image Processing |
| title_sort | identifying irregular potatoes by developing an intelligent algorithm based on image processing |
| topic | sınıflandırma görüntü işleme şekil bozukluğu patates biçim classification image processing irregularity potato shape |
| url | https://dergipark.org.tr/tr/download/article-file/1569108 |
| work_keys_str_mv | AT afshinazızı identifyingirregularpotatoesbydevelopinganintelligentalgorithmbasedonimageprocessing AT yousefabbaspourgılandeh identifyingirregularpotatoesbydevelopinganintelligentalgorithmbasedonimageprocessing |