Comparative Study of Composite Defect and Segmentation in RGB and Lab Colour Space

Abstract

Composite material has the advantage where it has been used in manufacturing electric vehicle and aerospace components due to the stiffness, hardness and lightness of the material. However, because of the anisotropy of the composite material, the inspection of material is still become a challenge. Active thermography has been applied as one of non-destructive tools to test, assess and identify composite fibre defects. In this project a low-resolution infrared camera is used to measure composite defect using active thermography method. The infrared images taken were then converted into RGB and Lab Colour Space. Image filtering and enhancement were then utilized and finally using circle detection algorithm to determine the number of defects on composite material. A comparison was done on segmentation between RGB and Lab colour spaces and determine which colour space that could produce optimum result by identifying the maximum total of actual defects. Simulation depth defect of a glass fibre reinforced polymer (CFRP) with different depth and diameter of defects is used as the sample testing.

A Systematic Methodology to Modify Color Images for Dichromatic Human Color Vision and its Application in Art Paintings

“…To carry out the above mappings, the colors are appropriately gamma-corrected, the XYZ color space is used as an intermediate space, and the whole approach is based on the CIE Standard Illuminant D65. More information about the above mappings can be found in [17,18,19,20].…”