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Method for detecting image edge based on Bayer RGB

A detection method and image edge technology, applied in the field of image processing, can solve problems such as difficulty in meeting edge detection requirements of CMOS image sensors, and achieve the effects of good signal-to-noise ratio, good false edges, and accurate edge positioning

Active Publication Date: 2011-04-13
BRIGATES MICROELECTRONICS KUNSHAN
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Problems solved by technology

[0006] The technical problem solved by the present invention is that the existing image edge detection method based on grayscale calculation is difficult to meet the edge detection requirements of the original image of the CMOS image sensor

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  • Method for detecting image edge based on Bayer RGB
  • Method for detecting image edge based on Bayer RGB
  • Method for detecting image edge based on Bayer RGB

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Embodiment Construction

[0033] As we all know, image edge detection is obtained by calculating the gradient information of the target pixel, which is analogous to the extreme value operation in the function. As edge pixels, the gradient change of their brightness must be larger than that of non-edge pixels. By setting high and low thresholds, on the one hand, more obvious edge points can be directly selected, and on the other hand, it is convenient for fuzzy edge points to be judged to avoid edge loss. For ordinary color images, the brightness can be directly represented by the gray value, but usually the original image obtained by the CMOS image sensor is in the Bayer RGB mode, and a single pixel only contains the pixel value of one color. If the gray value is used to represent the pixel For the brightness of a point, it is necessary to complete the color information of each pixel point first, and then calculate the gray value, which will increase the amount of calculation and the complexity of edge...

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Abstract

The invention provides an image edge detecting method based on Bayer RGB, the method comprises the following steps: providing Bayer RGB images; taking target pixel points as centers, generating matrices of Bayer RGB pixel points in a 3*3 neighborhood, applying detection operators for the gradient operation for various pixel points in the matrices respectively and obtaining gradient amplitudes and gradient angles of various pixel points, and then whether edge points are determined or not through comparing determination of double-threshold values and the gradient of adjacent pixel points. The invention avoids calculating grayness of pixel points, which is suitable for direct edge detection for original images obtained by a CMOS image sensor. The detecting method has the characteristics of good signal to noise ratio, accurate edge positioning and good effect of restraining false edges.

Description

[0001] technology neighborhood [0002] The present application belongs to the field of image processing, and relates to an edge detection method, in particular to a Bayer RGB-based image edge detection method suitable for CMOS image sensors. Background technique [0003] Image threshold segmentation is a widely used image processing technology, which can usually be used for edge detection and segmentation of images. However, the existing threshold segmentation processing is generally based on gray value calculation. This method firstly determines a gray value change gradient threshold in the gray value range of the image, and then calculates the gray value change gradient of each pixel in the image. All are compared with this threshold, and according to the comparison result, the corresponding pixel points are classified into two categories that are larger than the threshold or smaller than the threshold, and further distinguish whether the pixel is an edge point. [0004] I...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00
Inventor 任晓慧曹庆红
Owner BRIGATES MICROELECTRONICS KUNSHAN
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