A test efficient method of classifying image quality of an optical sensor using three categories of pixels

摘要

A multi-threshold optical binning method for classifying the image quality of an optical sensor (104) is presented. In accordance with the invention, a sensor tester (102) causes a sensor pixel image (105) to be generated by a sensor under test (104). The sensor pixel image (105) is comprised of a plurality of pixels, each represented by an associated quantized intensity level. The quantized intensity level of a pixel may fall into one of a first pixel class, a second pixel class, or a third pixel class, for example, a dark pixel class, a dim pixel class, and an acceptable pixel class. An image filter (106) processes the sensor pixel image (105), filtering out all pixels that fall within the acceptable pixel class, to generate a defective pixel map (108). The defective pixel map (108) includes those pixels which have a quantized intensity level that falls within the first and/or second pixel class but not the third pixel class.