Transpacific Optics LLC

Ace Chien

The present invention provides a method for dynamically refine the threshold values of R (Red), G (Green), B (Blue) colors for determining a borderline pixel in response to the values of a background image, thereby to precisely determine the borderlines of the Area of Interest (AOI). The method of the invention first searches the borderline pixels of a scanned image according to the standard differences of the R, G, B values of the pixels. Then, approximate the R, G, B threshold values of the borderline pixels by repeatedly averaging the current R, G, B values of the borderline pixels and the previous R, G, B threshold values until the difference is less than a predetermined value. The approximated R, G, B threshold values are set for the new R, G, B threshold values for determining the attribute of a pixel for subsequent prescanned images. Accordingly, the AOI can be automatically selected by reading the image circumscribed by the borderline pixels.

Method for auto-cropping a scanned image

The present invention provides a method for dynamically refine the threshold values of R(Red), G(Green), B(Blue) colors for determining a borderline pixel in response to the values of a background image, thereby to precisely determine the borderlines of the Area of Interest (AOI). The method of the invention first searches the borderline pixels of a scanned image according to the standard differences of the R,G,B values of the pixels. Then, approximate the R,G,B threshold values of the borderline pixels by repeatedly averaging the current R,G,B values of the borderline pixels and the previous R,G,B threshold values until the difference is less than a predetermined value. The approximated R,G,B threshold values are set for the new R,G,B threshold values for determining the attribute of a pixel for subsequent prescanned images. Accordingly, the AOI can be automatically selected by reading the image circumscribed by the borderline pixels.

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Hsinchu, Taiwan

Ace Chien