Study of Gauge Image Segmentation for the New Ship Engine-Room Monitoring System

Combining genetic algorithm and probability statistics approach, a fast image threshold segmentation scheme is addressed in this article. The scheme is based on performance function of Ostu method. As this scheme speeds up the gauge image segmentation and pattern recognition hugely, the practical use of the new ship engine-room monitoring system is technically guaranteed. From the successful experimental results, it is shown that the proposed scheme is as effective as Ostu´ method, also, speed of the presented pattern recognition approach is much higher than Ostu method considerably so that the practicability of new ship engine-room monitoring system is getting stronger and stronger