ROAD DAMAGE ASSESMENT FOR FLEXIBLE PAVEMENT USING DIGITAL IMAGE PROCESSING

The assesment of the road pavement condition using mechanical tools collided with the problem of funds, because the price of these tools is quite expensive and for one type of equipment only measures one particular condition, the method of visual inspection is a good solution, because it is sufficient practical, simple and efficient, but there are still weaknesses in the visual assessment of road damage. The visual assessment method is very subjective, depending on the assessor. Considering the existence of weaknesses in the method of visually evaluating road damage, it is necessary to make an algorithm or method to detect and calculate the value of damage to the road quickly and precisely. This study aims calculating the value of road damage with the Dirgolaksono and Mochtar visual methods (D & M method), to make a model of road damage based assessment algorithms based on digital imagery, and to apply digital image methods to the road sections reviewed. The initial step of the algorithm process is taking pictures with a type of digital camera, so that digital images are generated and then processed using Matlab R2016a. It resulted a classification of road damage and the value of damage from the road section. The results obtained are visually damaged road values and road damage values in digital imagery, getting values that are almost the same for the same road segment. It is proven that there is a strong correlation between the value of damage visually with the value of damage digitally or it can be said there is no difference between the value of damage visually with the value of damage in digital image