US 2018/0018541 A1 · Pixel Classification Techniques

Abstract

Systems, methods, and computer readable media to categorize a pixel (or other element) in an image into one of a number of different categories are described. In general, techniques are disclosed for using properties (e.g., statistics) of the regions being categorized to determine the appropriate size of window around a target pixel (element) and, when necessary, the manner in which the window may be changed if the current size is inappropriate. More particularly, adaptive window size selection techniques are disclosed for use when categorizing an image's pixels into one of two categories (e.g., black or white). Statistics of the selected region may be cascaded to determine whether the current evaluation window is acceptable and, if it is not, an appropriate factor by which to change the currently selected window's size

Claims20

Dependent claims

A pixel categorization method, comprising:

obtaining an image having a plurality of pixels, each pixel having a value;
selecting a first pixel from the image's plurality of pixels;
selecting, from the image, a first plurality of pixels associated with the first pixel;
determining a first plurality of statistics based on the first plurality of pixels;
identifying, from the image, a second plurality of pixels associated with the first pixel when a first statistic of the first plurality of statistics does not meet a first threshold;
identifying, from the image, a third plurality of pixels associated with the first pixel when the first statistic meets the first threshold and a second statistic of the first plurality of statistics fails to meet a second threshold;
and
categorizing the first pixel into one of a plurality of categories based on the first pixel's value when the first statistic meets the first threshold and the second statistic meets the second threshold.

5 more elements

An electronic device, comprising:

an imaging system including a lens and image sensor, the lens configured to light from a scene onto the image sensor;
memory communicatively coupled to the imaging system;
and
one or more processors communicatively coupled to the imaging system and memory and configured to execute instructions stored in the memory, the instructions configured to cause the one or more processors to—
obtain an image having a plurality of pixels, each pixel having a value;
select a first pixel from the image's plurality of pixels;
select, from the image, a first plurality of pixels associated with the first pixel;
determine a first plurality of statistics based on the first plurality of pixels;
identify, from the image, a second plurality of pixels associated with the first pixel when a first statistic of the first plurality of statistics does not meet a first threshold;
identify, from the image, a third plurality of pixels associated with the first pixel when the first statistic meets the first threshold and a second statistic fails to meet a second threshold;
and
categorize the first pixel into one of a plurality of categories based on the first pixel's value when the first statistic meets the first threshold and the second statistic meets the second threshold.

9 more elements

Dependencies are inferred from the claim text.

Pixel Classification Techniques

Life of this patent

Pixel Classification Techniques

Life of this patent

Abstract

Claims20