Computer vision - Lecture 2

..................................is a two-dimensional grid of numeric values, where each value represents the intensity or colour of a pixel in the image.

• Analog Image

• Image Matrix

• Digital Image

• Photograph

Several key reasons why matrices are essential in computer vision such as

• Transformation

• Filtering

• Feature extraction

• Deep learning

...........................are graphical representations of the distribution of pixel intensities within an image.

• Image matrix

• image processing

• Digital image

• Image histogram

....................................is a basic image processing technique that used to enhance the contrast of an image by redistributing pixel intensities across the entire dynamic range.

• Histogram equalisation

• Image histogram

• Sharpening

• Edge detection

This image represents an example of

• Edge detection filtering

• Smoothing filtering

• Histogram-based Techniques

• Sharpening filter