Histogram equalization method for a vision-based occupant sensing system

• US 20070058862A1
• Filed: 09/09/2005
• Published: 03/15/2007
• Est. Priority Date: 09/09/2005
• Status: Abandoned Application

• Current Assignee: Delphi Technologies, Inc. (Aptiv PLC)
• Original Assignee: Delphi Technologies, Inc. (Aptiv PLC)
• Inventors: Meier, Michael, Fultz, William
• Application Number:
  US11/223,620
• Publication Number:
  US 20070058862A1
• Time in Patent Office: Days
• US Class Current: 382/170
• CPC Class Codes: G06T 2207/20012 Locally adaptive
• CPC Class Codes: G06T 2207/30268 Vehicle interior
• CPC Class Codes: G06T 5/40 using histogram techniques
• CPC Class Codes: G06T 5/94 based on local image properties, e.g. for local contrast enhancement

Abstract

A histogram equalization technique facilitates edge detection of objects imaged by a vision-based occupant sensing system by segmenting the brightness continuum of an imaging chip into predefined regions, and adjusting pixel intensities corresponding to identified histogram clusters within a given brightness region to redistribute the clusters within that region. This enhances brightness differentiation for objects in every region of the brightness continuum (i.e., both low and high reflectivity objects), enabling reliable edge detection of all objects of interest with a single image.

Claims

1. A method of processing a digital image produced by an imaging chip of a vision-based occupant sensing system, comprising the steps of:

producing histogram data tabulating pixel concentrations over a brightness continuum of said imaging chip;

segmenting said brightness continuum into two or more brightness regions;

identifying the tabulated pixel concentrations in each brightness region; and

within each of said brightness regions, adjusting a brightness of the identified pixel concentrations to distribute such identified pixel concentrations within that brightness region.

2. The method of claim 1, including the step of:

segmenting said brightness continuum into two or more brightness regions separated by one or more predefined brightness thresholds.

3. The method of claim 1, including the steps of:

(a) creating a summation array of the pixel concentrations identified in a given brightness region;

(b) normalizing said summation array based on a maximum pixel concentration brightness value in said given brightness region;

(c) adjusting the brightness of the identified pixel concentrations of the given brightness region using the normalized summation array; and

(d) successively repeating the above steps (a), (b) and (c) for the identified pixel concentrations of brightness regions other than said given brightness region.