Abstract: Disclosed herein is a system and method for diagnosing a failure condition of an image processing apparatus. When a failure condition is detected in an image path during output of a document, a fault code is issued. The image processing apparatus is then capable of performing an internal diagnosis to generate a diagnostic report, and send the diagnostic report and fault code to an operator at a remote location. The system and method allows one to diagnose a problem or failure condition more quickly and efficiently, thereby cutting down on service time and costs.

Abstract: A method to detect edges based on chrominance information alone or in combination with gray level values includes comparing chrominance values to a registration parameter based on chromacity measurements of a backing. To calibrate a system, a small scan obtains sample image data for the backing in the document feeder. Using the sampled image data, average chrominance values for the backing are determined. Based on the averages, a channel having a low chrominance contribution is selected as the registration channel. A registration parameter is calculated for automatic registration of documents based on the average chrominance and chrominance deviation for the registration channel.

Abstract: Disclosed herein is a system and method for diagnosing a failure condition of an image processing apparatus. When a failure condition is detected in an image path during output of a document, a fault code is issued. The image processing apparatus is then capable of performing an internal diagnosis to generate a diagnostic report, and send the diagnostic report and fault code to an operator at a remote location. The system and method allows one to diagnose a problem or failure condition more quickly and efficiently, thereby cutting down on service time and costs.

Abstract: A method to detect edges based on chrominance information alone or in combination with gray level values includes comparing chrominance values to a registration parameter based on chromacity measurements of a backing. To calibrate a system, a small scan obtains sample image data for the backing in the document feeder. Using the sampled image data, average chrominance values for the backing are determined. Based on the averages, a channel having a low chrominance contribution is selected as the registration channel. A registration parameter is calculated for automatic registration of documents based on the average chrominance and chrominance deviation for the registration channel.