Bayesian Classification for Images

Bayesian Classification for Images integrates pattern recognition techniques with image processing technologies, demonstrating the fundamental approach of using Minimum Error Probability Bayesian Classifiers for image categorization. Implementation typically involves probability density estimation and decision boundary computation based on feature vectors extracted from pixel data.