کد مقاله کد نشریه سال انتشار مقاله انگلیسی ترجمه فارسی نسخه تمام متن
5769226 1628770 2018 9 صفحه PDF سفارش دهید دانلود کنید
عنوان انگلیسی مقاله ISI
Research PaperA comparative evaluation of combined feature detectors and descriptors in different color spaces for stereo image matching of tree
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم کشاورزی و بیولوژیک دانش باغداری
پیش نمایش صفحه اول مقاله
Research PaperA comparative evaluation of combined feature detectors and descriptors in different color spaces for stereo image matching of tree
چکیده انگلیسی


- The performance of 12 combinations of well-known detectors and descriptors on stereo image pairs of an artifact tree was compared.
- The largest number of keypoints were detected by MSER and SURF detectors almost in all possible spaces.
- Best combinations used from SURF detector and descriptor when the precision and recall results were considered.
- Comparing the various combinations in different spaces, RGB and Y spaces were the best spaces to implement combinations.
- The best results were obtained when the SURF detector was combined with the SURF descriptor.

Tree canopy geometric characteristics are directly related to tree growth and productivity, and this information has been used to predict yield, fertilizer application in citrus crops, water consumption or biomass. So a 3D model and a depth map of the tree can be useful. One method of creating 3D model is stereo vision technique. The comparison and performance assessment of different combinations of feature detectors and descriptors is very important in this technique. In this study, the performance of 12 combinations of well-known detectors and descriptors including BRISK with SURF, BRISK with BRISK, BRISK with FREAK, Harris with SURF, Harris with BRISK, Harris with FREAK, SURF with SURF, SURF with BRISK, SURF with FREAK, MSER with SURF, MSER with BRISK, and MSER with FREAK was evaluated. The included color spaces were HSV, H, YCbCr, Y, NTSC and RGB. The performance comparison for each combination was carried out in terms of precision and recall values using stereo image pairs of tree. It was observed that the largest number of keypoints were detected by MSER and SURF detectors almost in all possible spaces. Best combinations used from SURF detector and descriptor when the precision and recall results were considered. RGB and Y spaces were the best spaces to implement combinations. The combination of SURF with SURF, SURF with FREAK, and HARRIS-SURF were found to be preferable.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Scientia Horticulturae - Volume 228, 26 January 2018, Pages 187-195
نویسندگان
, , ,