Identification of Shadowed Areas to Improve Ragweed Leaf Segmentation
As part of a project targeting geometrical structure analysis and identification of ragweed leaves, sample images were created. Even though images were taken under near optimal conditions, the samples still contain noise of cast shadow. The proposed method improves chromaticity based primary shape s...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek
2021-01-01
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| Series: | Tehnički Vjesnik |
| Subjects: | |
| Online Access: | https://hrcak.srce.hr/file/379430 |
| _version_ | 1797206910973247488 |
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| author | Tamas Storcz Géza Várady* Zsolt Ercsey |
| author_facet | Tamas Storcz Géza Várady* Zsolt Ercsey |
| author_sort | Tamas Storcz |
| collection | DOAJ |
| description | As part of a project targeting geometrical structure analysis and identification of ragweed leaves, sample images were created. Even though images were taken under near optimal conditions, the samples still contain noise of cast shadow. The proposed method improves chromaticity based primary shape segmentation efficiency by identification and re-classification of the shadowed areas. The primary classification of each point is done generally based on thresholding the Hue channel of Hue/Saturation/Value color space. In this work, the primary classification is enhanced by thresholding an intra-class normalized weight computed from the class specific Value channel. The corrective step is the removal of areas marked as shadow from the object class. The idea is based on the assumption that the image contains a single, flat leaf in front of a homogeneous background, but there are no color and illumination restrictions. Thus, parameters of the imaging system and the light sources have influence on homogeneity of image parts; however vague shadows differ only in intensity, and hard shadows can only be dropped on the background. |
| first_indexed | 2024-04-24T09:14:32Z |
| format | Article |
| id | doaj.art-1c412003a9bd4b41bdd35e814ac6c7d3 |
| institution | Directory Open Access Journal |
| issn | 1330-3651 1848-6339 |
| language | English |
| last_indexed | 2024-04-24T09:14:32Z |
| publishDate | 2021-01-01 |
| publisher | Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek |
| record_format | Article |
| series | Tehnički Vjesnik |
| spelling | doaj.art-1c412003a9bd4b41bdd35e814ac6c7d32024-04-15T17:07:29ZengFaculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in OsijekTehnički Vjesnik1330-36511848-63392021-01-012841236124310.17559/TV-20190604092100Identification of Shadowed Areas to Improve Ragweed Leaf SegmentationTamas Storcz0Géza Várady*1Zsolt Ercsey2University of Pécs, Boszorkányút 2, 7624 Pécs, HungaryUniversity of Pécs, Boszorkányút 2, 7624 Pécs, HungaryUniversity of Pécs, Boszorkányút 2, 7624 Pécs, HungaryAs part of a project targeting geometrical structure analysis and identification of ragweed leaves, sample images were created. Even though images were taken under near optimal conditions, the samples still contain noise of cast shadow. The proposed method improves chromaticity based primary shape segmentation efficiency by identification and re-classification of the shadowed areas. The primary classification of each point is done generally based on thresholding the Hue channel of Hue/Saturation/Value color space. In this work, the primary classification is enhanced by thresholding an intra-class normalized weight computed from the class specific Value channel. The corrective step is the removal of areas marked as shadow from the object class. The idea is based on the assumption that the image contains a single, flat leaf in front of a homogeneous background, but there are no color and illumination restrictions. Thus, parameters of the imaging system and the light sources have influence on homogeneity of image parts; however vague shadows differ only in intensity, and hard shadows can only be dropped on the background.https://hrcak.srce.hr/file/379430chromaticitycircular thresholdinghistogramintensitynormalized weightshadow |
| spellingShingle | Tamas Storcz Géza Várady* Zsolt Ercsey Identification of Shadowed Areas to Improve Ragweed Leaf Segmentation Tehnički Vjesnik chromaticity circular thresholding histogram intensity normalized weight shadow |
| title | Identification of Shadowed Areas to Improve Ragweed Leaf Segmentation |
| title_full | Identification of Shadowed Areas to Improve Ragweed Leaf Segmentation |
| title_fullStr | Identification of Shadowed Areas to Improve Ragweed Leaf Segmentation |
| title_full_unstemmed | Identification of Shadowed Areas to Improve Ragweed Leaf Segmentation |
| title_short | Identification of Shadowed Areas to Improve Ragweed Leaf Segmentation |
| title_sort | identification of shadowed areas to improve ragweed leaf segmentation |
| topic | chromaticity circular thresholding histogram intensity normalized weight shadow |
| url | https://hrcak.srce.hr/file/379430 |
| work_keys_str_mv | AT tamasstorcz identificationofshadowedareastoimproveragweedleafsegmentation AT gezavarady identificationofshadowedareastoimproveragweedleafsegmentation AT zsoltercsey identificationofshadowedareastoimproveragweedleafsegmentation |