  This literature has proposed three fast and easy computable image features to
improve computer vision by offering more human-like vision power. These
features are not based on image pixels absolute or relative intensity; neither
based on shape or colour. So, no complex pixel by pixel calculation is
required. For human eyes, pixel by pixel calculation is like seeing an image
with maximum zoom which is done only when a higher level of details is
required. Normally, first we look at an image to get an overall idea about it
to know whether it deserves further investigation or not. This capacity of
getting an idea at a glance is analysed and three basic features are proposed
to empower computer vision. Potential of proposed features is tested and
established through different medical dataset. Achieved accuracy in
classification demonstrates possibilities and potential of the use of the
proposed features in image processing.
