The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jul. 17, 2012

Filed:

Sep. 05, 2008
Applicant:

Huanfeng MA, Drexel Hill, PA (US);

Inventor:

Huanfeng Ma, Drexel Hill, PA (US);

Assignee:

The Neat Company, Inc., Philadelphia, PA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/36 (2006.01);
U.S. Cl.
CPC ...
Abstract

A method, computer readable medium, and device for reducing speckle in an image by detecting the edges of the image to create an edge detected image, binarizing the edge detected image to create a binary edge image for processing, creating a list, L, of connected components in the binary edge image, creating a list, C, of connected components in list L that are smaller than a predetermined number of pixels, determining noise candidate pixels from the edge detected image that are covered by the connected components in list C, computing a histogram hof the noise candidate pixels, calculating a threshold from the total number of noise candidate pixels, and marking the pixels in the connected components in list C having a pixel intensity smaller than the threshold as noise. The pixels marked as noise may then be removed by setting the pixels marked as noise to a background color of the image. Optionally, a number of connected components M in list C and a number of connected components N in list L are counted and a percentage p of noise candidates M to the number of connected components N is calculated as p=M/N. The processing only removes the speckle if p is more than a predetermined percentage and stops processing of the image if p is less than the predetermined percentage.


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