System and method for dating textured gelatin silver paper

A system for extracting texture features from a sample under investigation, the system comprising:

• a dome for enclosing the sample, wherein the dome comprises:
• a plurality of light emitting diodes (LEDs) disposed around an inner surface of the dome, wherein the plurality of LEDs are arranged to form a plurality of LED rings around the inner surface of the dome;
• an LED controller for controlling the plurality of LEDs;
• a CCD imager microscope for capturing LED light reflected from the texture features inherent within the sample;
• a CCD imager microscope controller for controlling the CC imager microscope;
• a computer system for storing and analyzing the texture features from the sample, the computer system comprising:
• a processor for executing instructions;
• a display, operatively coupled to the processor;
• a non-transitory computer readable medium, operatively coupled to the processor, wherein the computer readable medium contains:
• a set of system instructions that, if executed by the processor, are operable to cause the computer system to construct a rules engine, the rules engine comprising texture identification rules and resources to classify the texture features;
• a second set of system instructions that, if executed by the processor, are operable to cause the computer system to capture a plurality of texture datasets associated with the sample, wherein one of the plurality of texture datasets comprise a first set of texture features and a second one of the plurality of texture datasets comprise a second set of texture features;
• and
• a third set of system instructions that, if executed by the processor, are operable to cause the computer system to compare the plurality of texture datasets associated with the sample and identify differences between the plurality of texture datasets.

A system for extracting texture features from a sample under investigation, the system comprising:

• a computer system for storing and analyzing the texture features from the sample, the computer system comprising:
• a processor for executing instructions;
• a display, operatively coupled to the processor;
• an input communications device;
• a non-transitory computer readable medium, operatively coupled to the processor, wherein the non-transitory computer readable medium contains:
• a set of system instructions that, if executed by the processor, are operable to cause the computer system to construct a rules engine, the rules engine comprising texture identification rules and resources to classify the texture features:
• a second set of system instructions that, if executed by the processor, are operable to cause the computer system to capture a plurality of texture datasets associated with the sample, wherein one of the plurality of texture datasets comprise a first set of texture features and a second one of the plurality of texture datasets comprise a second set of texture features;
• and
• a third set of system instructions that, if executed by the processor, are operable to cause the computer system to compare the plurality of texture datasets associated with the sample and identify differences between the plurality of texture datasets;
• an LED controller for controlling the plurality of LEDs, wherein the LED controller controls each of the LEDs light intensity, exposure time, and gain independently of the other LEDs;
• a CCD imager microscope for capturing LED light reflected from the texture features inherent within the sample;
• and
• a CCD imager microscope controller for controlling the CCD imager microscope;
• and
• a plurality of light emitting diodes (LEDs) disposed semi-spherically around the sample, wherein the plurality of LEDs are arranged to form a plurality of LED rings and wherein each LED ring comprises a unique angle/distance pairing with respect to the sample.