Automated contour detection methods, systems and processor-readable media

A system for identifying an existence and an occurrence of a contour, said system comprising:

• a processor;
• a data bus coupled to said processor;
• and
• a computer-usable medium embodying computer program code, said computer-usable medium being coupled to said data bus, said computer program code comprising instructions executable by said processor and configured for:
• identifying an occurrence of a contour by taking a second derivative of a color space value associated with an image derived via a color management profile that models a behavior of a multi-function device as a smoothness metric;
• identifying a location of said contour by matching an input value to a corresponding input value of said image to thereafter determine a probability of said contour being visible in a rendered output thereof by separately analyzing said color space value;
• presenting said occurrence and said location of said contour to assist in quickly and clearly identifying said contour in said image without rendering a physical print thereof and with minimal human interaction and expenditure;
• applying a moving average filter to minimize an extraneous peak and a trough in said second derivative that contributes to noise;
• and
• thereafter detecting said contour if a filtered second derivative lies outside a particular range of values, wherein said probability of said contour visibility upon rendering is high if at least one extraneous filtered second derivative value exists within at least five input values.

A processor-readable non-transitory medium storing computer code representing instructions to cause a process for identifying an existence and an occurrence of a contour, said computer code comprising code to:

• identify an occurrence of a contour by taking a second derivative of a color space value associated with an image derived via a color management profile that models a behavior of a multi-function device as a smoothness metric;
• identify a location of said contour by matching an input value to a corresponding input value of said image to thereafter determine a probability of said contour being visible in a rendered output thereof by separately analyzing said color space value;
• present said occurrence and said location of said contour to assist in quickly and clearly identifying said contour in said image without rendering a physical print thereof and with minimal human interaction and expenditure;
• apply a moving average filter to minimize an extraneous peak and a trough in said second derivative that contributes to noise;
• and
• thereafter detect said contour if a filtered second derivative lies outside a particular range of values, wherein said probability of said contour visibility upon rendering is high if at least one extraneous filtered second derivative value exists within at least five input values, said probability of said contour visibility upon rendering is average if after filtering said extraneous peak and/or said trough exists in said second derivative, and said probability of said contour visibility upon rendering is low if said particular range of values with respect to said second derivative is low.