Segmentation techniques in image analysis: A comparative study
Nowadays, the detection, localization, and quantification of different kinds of features in an RGB image (segmentation) is extremely helpful for, e.g., process monitoring or customer product acceptance. In this article, some of the most commonly used RGB image segmentation approaches are compared in...
| Autores principales: | , , , , |
|---|---|
| Formato: | Artículo |
| Lenguaje: | Inglés |
| Publicado: |
Wiley
2021
|
| Materias: | |
| Acceso en línea: | http://hdl.handle.net/20.500.11939/6958 https://onlinelibrary.wiley.com/doi/full/10.1002/cem.2854 |
Ejemplares similares: Segmentation techniques in image analysis: A comparative study
- Sensors I: Color Imaging and Basics of Image Processing
- Comparison of latent variable-based and artificial intelligence methods for impurity detection in PET recycling from NIR hyperspectral images
- VIS/NIR hyperspectral imaging and N-way PLS-DA models for detection of decay lesions in citrus fruits
- Application of 2D and 3D image technologies to characterise morphological attributes of grapevine clusters
- Identification of mechanical damage in the 'Fuji' apple cv. using artificial hyperspectral vision
- Fusion of Different Image Sources for Improved Monitoring of Agricultural Plots