A method for obtaining maize phenotypic parameters based on improved QuickShift algorithm.
Rui GaoShangqing CuiHaoRan XuQingming KongZhongbin SuJinlong LiPublished in: Comput. Electron. Agric. (2023)
Keyphrases
- improved algorithm
- high accuracy
- cost function
- experimental evaluation
- detection method
- detection algorithm
- levenberg marquardt
- computational complexity
- preprocessing
- input data
- computational cost
- dynamic programming
- segmentation algorithm
- tree structure
- optimization algorithm
- segmentation method
- expectation maximization
- maximum likelihood estimation
- significant improvement
- synthetic and real images
- parameter estimation
- theoretical analysis
- estimation algorithm
- em algorithm
- recognition algorithm
- high efficiency
- optimization method
- optimal parameters
- single pass
- similarity measure
- bayesian framework
- parameter selection
- classification method
- matching algorithm
- parameter settings
- clustering method
- support vector machine svm
- computationally efficient
- objective function
- k means
- parameter tuning
- least squares
- fine tuning
- learning algorithm
- initial values
- convergence rate
- parameter space
- pairwise
- parameters estimation
- selection algorithm
- neural network
- nonlinear functions
- probabilistic model
- window size
- particle swarm optimization
- classification algorithm
- reconstruction method
- search space
- maximum likelihood
- control parameters
- face recognition
- decision trees
- recursive least squares