Monochromatic image determination

摘要

Systems, methods and computer readable media for determination of monochromatic images are described. Some implementations can include a method. The method can include converting an image in a first colorspace to a first converted image in a second colorspace. The method can also include generating a hue histogram based on hue values in the converted image and determining a hue dispersion measure based on the hue histogram and a number of pixels in the image. The method can further include determining a hue clustering value based on the hue histogram and converting the image in the first colorspace into a second converted image in a third colorspace. The method can also include determining a variance measure based on the second converted image, and comparing the hue dispersion measure, the hue clustering value and the variance measure to a first threshold value, a second threshold value and a third threshold value, respectively.

主权项

1. A method comprising:
converting an image in a first colorspace to a first converted image in a second colorspace; generating a hue histogram based on hue values in the converted image; determining a hue dispersion measure based on the hue histogram and a number of pixels in the image; determining a hue clustering value based on the hue histogram; converting the image in the first colorspace into a second converted image in a third colorspace; determining a variance measure based on the second converted image; comparing the hue dispersion measure, the hue clustering value and the variance measure to a first threshold value, a second threshold value and a third threshold value, respectively; and providing an indication of whether the image is monochromatic based on one or more of the comparisons, wherein determining the hue dispersion measure includes: projecting hue values onto a unit circle, wherein any pixel missing from the histogram is assigned to point (0,0); computing a center of gravity for plotted pixels; iterating over plotted pixels on the unit circle and computing an intermediate value according to (hx−x)^8+(hy−y)^8 for each plotted pixel; summing the intermediate values; and normalizing the sum of intermediate values, wherein the normalized result is the hue dispersion measure.