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:
Jan. 30, 2024

Filed:

Sep. 27, 2023
Applicants:

Changshu Institute of Technology, Suzhou, CN;

Pengchen New Material Technology Co., Ltd., Suzhou, CN;

Inventors:

Yi Zhou, Suzhou, CN;

Zhe Yu, Suzhou, CN;

Yong Tan, Suzhou, CN;

Kangbo Yu, Suzhou, CN;

Fan Lin, Suzhou, CN;

Sheng Chang, Suzhou, CN;

Jiuchang Qiao, Suzhou, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 5/40 (2006.01); G06V 10/764 (2022.01); G06T 7/136 (2017.01);
U.S. Cl.
CPC ...
G06T 5/40 (2013.01); G06T 7/136 (2017.01); G06V 10/764 (2022.01); G06T 2207/10024 (2013.01);
Abstract

A production monitoring and analysis method based on an image data algorithm includes: obtaining a reconstructed gray histogram according to a gray image of an image where a product identification code is located; obtaining a segmentation threshold of an Otsu algorithm for segmenting the reconstructed gray histogram, obtaining the adjustment of the gray level in the sub-gray histogram according to the number of pixels corresponding to each gray level in the reconstructed gray histogram and the segmentation threshold, correcting the sub-gray histogram to obtain a corrected sub-gray histogram according to the adjustment of the gray level in the sub-gray histogram, the lateral segmentation threshold of the sub-gray histogram, and all the gray levels greater than the lateral segmentation threshold, and obtaining an enhanced gray image according to the corrected sub-gray histogram. The method avoids the loss of original information when using histogram equalization for image enhancement.


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