Color Recognition in Challenging Lighting Environments: CNN Approach
Nizamuddin Maitlo Nooruddin Noonari Sajid Ahmed Ghanghro Sathishkumar Duraisamy Fayaz Ahmed
Light plays a vital role in vision either human or machine vision, the
perceived color is always based on the lighting conditions of the surroundings.
Researchers are working to enhance the color detection techniques for the
application of computer vision. They have implemented proposed several methods
using different color detection approaches but still, there is a gap that can
be filled. To address this issue, a color detection method, which is based on a
Convolutional Neural Network (CNN), is proposed. Firstly, image segmentation is
performed using the edge detection segmentation technique to specify the object
and then the segmented object is fed to the Convolutional Neural Network
trained to detect the color of an object in different lighting conditions. It
is experimentally verified that our method can substantially enhance the
robustness of color detection in different lighting conditions, and our method
performed better results than existing methods.