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This paper presents a real-time watershed-based algorithm for detecting multiple potholes on asphalt road surface. The algorithm uses (i) inverted binary in combination with Otsu thresholding techniques to find the optimal threshold value of the image in an inverted color space; then (ii) morphological technique with open, then close kernels to filter small noises and bold pothole edges on the image; and (iii) distance transform for finding markers on the pre-watershed-phase image before applying the watershed algorithm. As a result, the algorithm achieves real-time processing speed of approximately 33.1 frame-per-second (fps). Based on the tested images, it is evident that the algorithm can be used for detecting effectively potholes with different sizes and structures on three types of road surfaces namely smooth, aged, and degraded ones.