Bio-Imaging

i. Bio-imaging What is bio-imaging? Why bio-imaging is necessary Ease of use and cost-effectiveness for bio-industries such as agricultural and food industries Present applications and future trends ii. Bio-imaging: System and Components Essential components of the system Component description and their uses Different types of components currently used iii. Image Acquisition and Processing Image acquisition and storage Common image processing methods Image analysis and feature extraction iv. Optical Imaging Operating principles Current uses in bio-industries Agriculture and food product quality determination Advantages ease and cost effectiveness Future applications v. X-ray Imaging Principles Present applications in bio-industries Agriculture and food product inspection Advantages over other imaging techniques in product inspection Cost comparison, safety and future applications vi. X-ray Computed Tomography (CT) Imaging Working principle Current applications in bio-industries Advantages over other imaging techniques Future research applications vii. Magnetic Resonance (MR) Imaging Fundamentals of MRI Applications in agriculture and food industries Special applications over other imaging techniques viii. Infrared or Thermal Imaging Working principle Applications in agriculture and food quality evaluation and other bio-fields Advantages and comparison with other inspection techniques Future applications ix. Classification or Identification What are statistical neural network classifiers? Different types of statistical and neural network classifiers Difference between statistical and neural network classifiers How are they used to classify objects in bio-imaging applications? x. Automation in agricultural and Food Industries Why automation is required? Ease and cost comparison between manual and automated process Current uses and future applications in bio-fields Current use and future trends in agriculture and food industries