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A computer-implemented method for identifying the edges of web media transported on a movable transport surface includes sensing, using a linear array sensor positioned along a process path of a web, the web media and the movable transport surface to obtain image data representative of variations in

A computer-implemented method for identifying the edges of web media transported on a movable transport surface includes sensing, using a linear array sensor positioned along a process path of a web, the web media and the movable transport surface to obtain image data representative of variations in optical textural properties of the web media and variations in optical textural properties of the movable transport surface, wherein the variations in the optical textural properties of the movable transport surface are different from the variations in the optical textural properties of the web media; and processing the image data to determine differences between the variations in the optical textural properties of the web media and the variations in the optical textural properties of the movable transport surface to identify an edge of the web media.

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1. A computer-implemented method for identifying edges of web media transported on a movable transport surface, wherein the method is implemented in a computer system comprising one or more processors configured to execute one or more computer program modules, the method comprising: sensing, using a

1. A computer-implemented method for identifying edges of web media transported on a movable transport surface, wherein the method is implemented in a computer system comprising one or more processors configured to execute one or more computer program modules, the method comprising: sensing, using a linear array sensor positioned along a process path of a web, the web media and the movable transport surface to obtain image data representative of variations in optical textural properties of the web media and variations in optical textural properties of the movable transport surface, wherein the variations in the optical textural properties of the movable transport surface are different from the variations in the optical textural properties of the web media; andprocessing the image data to determine differences between the variations in the optical textural properties of the web media and the variations in the optical textural properties of the movable transport surface to identify an edge of the web media,wherein the linear array sensor is a full-width linear array sensor that is configured to sense the web media and the movable transport surface on which the web media is transported to obtain the image data. 2. The method according to claim 1, wherein the processing is performed in a process direction along which the web, onto which an image is printed, moves through an image transfer and developing apparatus. 3. The method according to claim 1, wherein the movable transport surface is a roller. 4. A computer-implemented method for identifying edges of web media transported on a movable transport surface, wherein the method is implemented in a computer system comprising one or more processors configured to execute one or more computer program modules, the method comprising: sensing, using a linear array sensor positioned along a process path of a web, the web media and the movable transport surface to obtain image data representative of variations in optical textural properties of the web media and variations in optical textural properties of the movable transport surface, wherein the variations in the optical textural properties of the movable transport surface are different from the variations in the optical textural properties of the web media; andprocessing the image data to determine differences between the variations in the optical textural properties of the web media and the variations in the optical textural properties of the movable transport surface to identify an edge of the web media,wherein the processing further comprises determining a relative ratio of the spatial frequency of the variations in optical textural properties of the web media and the variations in optical textural properties of the movable transport surface to identify a desired frequency range. 5. The method according to claim 4, wherein the processing further comprises filtering each column of the image data in a process direction to obtain a filtered image data in the desired frequency range. 6. The method according to claim 5, wherein the filtering is performed using a band-pass filter. 7. The method according to claim 4, wherein the desired frequency range is a middle frequency range. 8. The method according to claim 4, wherein the relative ratio in the desired frequency range is high compared with other frequency ranges. 9. The method according to claim 4, wherein the relative ratio in the desired frequency range includes a largest difference between the variations in the optical textural properties of the media and the variations in the optical textural properties of the backer roll. 10. The method according to claim 5, wherein the processing further comprises mapping a two dimensional signal data of the filtered image data into a one dimensional feature vector along a cross-process direction. 11. The method according to claim 10, wherein the one dimensional feature vector corresponds to a pixel position in the cross-process direction. 12. The method according to claim 10, wherein the processing further comprises calculating the mean of the interior for the mapped data to filter out signal variations in the mapped data due to contamination on the movable transport surface and to obtain an output data. 13. The method according to claim 12, wherein the mean of the interior for the mapped data is calculated by excluding a lower 20% of the mapped data and an upper 20% of the mapped data. 14. The method according to claim 12, further comprising analyzing the output data to determine a center of transition of the output data at which the edge of the web media is detected. 15. A system for identifying edges of web media transported on a movable transport surface, the system comprising: a linear array sensor, positioned along a process path of a web, configured to sense the web media and the movable transport surface to obtain image data representative of variations in optical textural properties of the web media and variations in optical textural properties of the movable transport surface, wherein the variations in the optical textural properties of the movable transport surface are different from the variations in the optical textural properties of the web media; anda processor configured to process the image data to determine differences between the variations in the optical textural properties of the web media and the variations in the optical textural properties of the movable transport surface to identify an edge of the web media,wherein the linear array sensor is a full-width linear array sensor that is configured to sense the web media and the movable transport surface on which the web media is transported to obtain the image data. 16. The system according to claim 15, wherein the processor is configured to process the image data in a process direction along which the web, onto which an image is printed, moves through an image transfer and developing apparatus. 17. The system according to claim 15, wherein the movable transport surface is a roller. 18. A system for identifying edges of web media transported on a movable transport surface, the system comprising: a linear array sensor, positioned along a process path of a web, configured to sense the web media and the movable transport surface to obtain image data representative of variations in optical textural properties of the web media and variations in optical textural properties of the movable transport surface, wherein the variations in the optical textural properties of the movable transport surface are different from the variations in the optical textural properties of the web media; anda processor configured to process the image data to determine differences between the variations in the optical textural properties of the web media and the variations in the optical textural properties of the movable transport surface to identify an edge of the web media,wherein the processor configured to determine a relative ratio of the spatial frequency of the variations in optical textural properties of the web media and the variations in optical textural properties of the movable transport surface to identify a desired frequency range. 19. The system according to claim 18, wherein the processor configured to filter, using a band-pass filter, each column of the image data in a process direction to obtain a filtered image data in the desired frequency range. 20. The system according to claim 18, wherein the desired frequency range is a middle frequency range. 21. The system according to claim 18, wherein the relative ratio in the desired frequency range is high compared with other frequency ranges. 22. The system according to claim 18, wherein the relative ratio in the desired frequency range includes a largest difference between the variations in the optical textural properties of the media and the variations in the optical textural properties of the backer roll in the desired frequency range. 23. The system according to claim 19, wherein the processor configured to determine a mapping of a two dimensional signal data of the filtered image data to a one dimensional feature vector along a cross-process direction. 24. The system according to claim 23, wherein the one dimensional feature vector corresponds to a pixel position in the cross-process direction. 25. The system according to claim 23, wherein the processor configured to calculate the mean of the interior of the mapped data to filter out signal variations in the mapped data due to contamination on the movable transport surface and to obtain an output data. 26. The system according to claim 25, wherein the mean of the interior of the mapped data is calculated by excluding a lower 20% of the mapped data and an upper 20% of the mapped data. 27. The system according to claim 25, wherein the processor configured to analyze the output data to determine a center of transition of the output data at which the edge of the web media is detected. 28. The method according to claim 1, wherein the full-width linear array sensor is constructed and arranged to extend in a cross-process direction and to be wider than the web media. 29. The method according to claim 1, wherein the full-width linear array sensor is fixedly positioned along the process path of the web media so as to sense the web media as the web media passes under the full-width linear array sensor. 30. The method according to claim 1, wherein the variations in the optical textural properties of the movable transport surface include spatial variations in optical reflectance properties of the movable transport surface and the variations in the optical textural properties of the web media include spatial variations in optical reflectance properties of the web media.