During the past days, i was trying to get the computer recognizing blue and red colors to archive my prototype application. I tested two methods to distinguish the colors recognition effects, that were value-fixed approach and value-dynamic approach.
What i was doing is to build a simple, flexible and adaptable intellegent colors recognition prototype which could work under varities of spatial environments. First, a fixed value of color was set. Any colors match this value would be recognized as specific one. It is simple and easy, although it is dependentable on the environment light. ( if the environment is controlable, this method would be good one. ) Second approach is that, i devided the picture into 3 channels which are H, S, and V. And then, from H ( Hue), i defined a range of color as one color and other ranges for another. This experiment looks not so difficult and more robust that previous one, however, there’s still one thing which should be cautious: light temperature. Light tempreature changes, color’s hue exceeds.
So, before there invents more advantaged devices, recognizing which colors from which colors is relatively limited.
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