Abstract: Methods for image content detection calculate (16), for a pixel, an estimated intensity of the pixel and calculate (17), for the pixel, an actual intensity of this pixel and detect (18) whether a function of the estimated intensity and the actual intensity fulfils an intensity condition and generate (19), in response to an intensity condition detection result, a pixel content detection signal. These intensities are functions of the color value of the pixel. These methods perform well for a blue content (sky like cloudy sky and non-cloudy sky) and are used for content based classifications and automatic selections of images. To improve an efficiency and/or a success rate, the methods may further detect (15) whether color values fulfill color conditions. The methods may further detect (32,33) whether functions of numbers of pixels from groups of pixels fulfill block threshold conditions, to be able to generate block content detection signals in response to block threshold condition detection results.

Abstract: Methods for image content detection check (15) color values of pixels via color conditions and check (18) pixels via edge conditions and check (22) functions of numbers of edge conditioned pixels and numbers of color conditioned pixels via ratio conditions and generate (23), in response to ratio condition detection results, block content detection signals. These methods perform well for green content (greeneries like grass, leaves of trees, bushes) and blue content (water like river water, sea water) and are used for content based classifications and automatic selections of images.