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The present invention discloses a multi-touch sensing system capable of optimizing touch bulbs according to the variation of ambient lighting conditions and a method thereof. The system comprises an image capturing module, a computing module and a processing module. The image capturing module captures a touch image. The computing module converts the touch image into a histogram and selects a grayscale threshold to segment the histogram by dichotomy for generating a segmented image of touch bulbs, and then calculates a between-class variance and a total pixel variance of the segmented image to estimate the separability factor thereof. The processing module determines whether or not the separability factor conforms to a predetermined value; if yes, then the processing module performs an image binarization of the touch image to generate a binary image, or else the processing module repeats the …