System and method for finding saddle point-like structures in an image and determining information from the same

一种图像中、鞍点的技术，应用在图像分析、图像数据处理、字符和模式识别等方向，能够解决搜寻代码要素困难等问题

Active Publication Date: 2014-05-28
COGNEX CORP
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the case of various forms of 2D ID codes such as DataMatrix, QR and DotCode, it is sometimes very difficult to search for code elements

Method used

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  • System and method for finding saddle point-like structures in an image and determining information from the same
  • System and method for finding saddle point-like structures in an image and determining information from the same
  • System and method for finding saddle point-like structures in an image and determining information from the same

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Experimental program
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Embodiment Construction

[0032] Ⅰ. Overview of vision system

[0033] figure 1An exemplary implementation of a machine vision system 100 (also referred to herein as a "vision system" or, more generally, a "system") is described in detail, shown as a fixed Install the device. Alternatively, the system can be implemented as a mobile device using a movable base or handheld unit. In this embodiment, and by way of non-limiting example, the system is adapted to scan an object (eg, object 120 ) that is moving relative to system 100 . For example, the object may move (arrow 122 ) through the imaging frame along a conveyor and / or production line. As such, system 100 captures one or more image frames of the object while the object is within field of view 110 . The capture action may be initiated by a visual inspection program, part detector, encoder on the conveyor line, or other acceptable techniques known to those skilled in the art.

[0034] The illustrative system 100 includes a camera assembly 130 and...

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PUM

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Abstract

This invention provides a system and method for finding features in images that exhibit saddle point-like structures using relatively computationally low-intensive processes, illustratively consisting of an anti-correlation process, and associated anti-correlation kernel, which operates upon a plurality of pixel neighborhoods within the image. This process enables an entire image to be quickly analyzed for any features that exhibit such saddle point-like structures by determining whether the anti-correlation kernel generates a weak or strong response in various positions within the image. The anti-correlation kernel is designed to generate a strong response regardless of the orientation of a saddle point-like structure. The anti-correlation process examines a plurality of pixel neighborhoods in the image, thereby locating any saddle point-like structures regardless of orientation, as it is angle-independent. The structures are then grouped and refined (for example in a grid) in an effort to locate and decode ID topologies within the image.

Description

[0001] related application [0002] This application claims priority to U.S. Provisional Application Serial No. 61 / 721,012, entitled "System and Method for Searching and Determining Information about Saddle Point Structures in Images," filed October 31, 2012, which The entire disclosure of is incorporated herein by reference. technical field [0003] The present invention relates to a machine vision system, and more particularly, to a vision system for searching and decoding symbols based on ID information in captured images. Background technique [0004] Vision systems that measure, inspect, align objects, and / or decode symbolic codes or markings such as one-dimensional (1D) and two-dimensional (2D) DataMatrix barcodes, QR codes, DotCode, etc. – also known as “IDs” Widely used in various applications and industries. These systems are based on the use of image sensors (also called "imagers") that capture images of objects or objects (usually in grayscale or color, and in o...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06K9/62
CPCG06V10/225G06K7/1443G06K7/1417G06K7/10861G06K7/10871G06T7/60
Inventor E·B·斯托克斯晋风华W·M·西尔弗叶芗芸I·A·巴舍尔德
Owner COGNEX CORP
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