A new method to analyse the soil movement during tillage operations using a novel digital image processing algorithm.
Peilin LiMustafa UcgulSang-Heon LeeChris SaundersPublished in: Comput. Electron. Agric. (2019)
Keyphrases
- digital image processing
- cost function
- high accuracy
- computational cost
- dynamic programming
- optimization algorithm
- theoretical analysis
- recognition algorithm
- detection method
- k means
- improved algorithm
- significant improvement
- experimental evaluation
- preprocessing
- clustering method
- objective function
- estimation algorithm
- synthetic and real images
- computational complexity
- similarity measure
- high efficiency
- selection algorithm
- tree structure
- experimental study
- detection algorithm
- energy function
- segmentation algorithm
- single pass
- mathematical model
- classification algorithm
- noisy data
- learning algorithm
- segmentation method
- reconstruction method
- support vector machine svm
- em algorithm
- pairwise
- convergence rate
- prior information
- decomposition method
- arithmetic operations
- optimization method
- computational efficiency
- np hard
- region of interest
- classification method
- expectation maximization
- input data
- search space
- computationally efficient
- simulated annealing
- probabilistic model
- clustering algorithm
- image processing