Intensity value is used for accuracy purpose. Image once converted to binary image, holes are filled by using image processing method this helps to reject all smaller objects which are not required for crack detection. This helps system to detect only crack and helps to remove other unwanted objects.
Image luminous level is increased and image is converted to binary image. Noise removal helps to detect crack more accurately. System converts image to grayscale image and uses filtering to remove noise from image. Many image preprocessing steps is used to detect railway track crack. Here we propose an innovative approach to detect railway track crack as this system detects crack based on image processing.
