An experiment with image processing

Image processing is a technique used to enhance an image thereby preparing it for further use. Changing the brightness, contrast and smoothing (noise removal) of an image are examples of image processing. Computer vision, a study that deals with the recognition of objects in images and video depend heavily on image processing. Computer vision has been around since the 50s and has matured over time to what it is today. Augmented reality, Virtual reality and Mixed reality use computer vision in one way or the other. That makes the field of image processing all the more important.

Wouldn't it be cool to try out something in image processing? How about trying to extract the background from a footage of a busy scene? For the simplicity of the experiment, we'll use footage from cameras that do not move. Cameras that are usually locked in a fixed position are trail cams, security cams or a microscope camera.

An interactive Fishbone diagram

The Fishbone diagram is also known as the Cause-and-effect diagram. It was popularised by Kaoru Ishikawa, a Japanese professor, as a method to visualise a problem and its root causes. The diagram became a common industrial brainstorming tool in the 1960s. It is also referred to as the Ishikawa diagram.

Structural Complexity of e-learning modules

The general belief is that interactive content improves engagement. The truth is, it depends on the learner profile. Factors that define the learner profile include age, gender, education, region, industry, experience, likes and dislikes, beliefs, etc. All these factors must be taken into account when conducting a training session or developing an e-learning course. A trainer or an instructional designer determines the amount of interaction needed in an e-learning course.