Aditya S Sharma

US Patent:

20120075440, Mar 29, 2012

Filed:

Sep 28, 2010

Appl. No.:

12/892764

Inventors:

Disha Ahuja - San Diego CA, US
I-Ting Fang - Stanford CA, US
Bolan Jiang - San Diego CA, US
Aditya Sharma - San Diego CA, US

Assignee:

QUALCOMM Incorporated - San Diego CA

International Classification:

G06K 9/34
H04N 7/18

US Classification:

348 61, 382100, 382173, 348E07085

Abstract:

Entropy based image segmentation determines entropy values for pixels in an image based on intensity or edge orientation. One or more threshold values are determined as a fraction of the entropy distribution over the image. For example, high and/or low thresholds may be generated to identify regions in the image associated with trees or sky, respectively. The entropy values are compared to the threshold(s) from which regions within the image can be segmented. Intensity based entropy has no structural information, and thus, proximity based clustering and pruning of the entropy points is performed. A mask may be applied to the segmented regions to remove the regions from the image, which is useful in, e.g., objection recognition processes. Additionally, separate buildings may be identified and segmented using edge orientation entropy with clustering and pruning.