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Improved Prewitt operator-based fire complex environment image detecting method

A complex environment and image detection technology, applied in image enhancement, image analysis, image data processing and other directions, can solve the problems of noise sensitivity and poor robustness, and achieve the effect of high real-time performance, simple algorithm and easy implementation.

Inactive Publication Date: 2018-11-02
卞家福
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Problems solved by technology

With the deepening of the research, it is found that the detection accuracy of the Roberts operator is high, so some use the Roberts operator for edge detection, such as the patent number 201510172635.4 (name: image edge detection method based on the Roberts operator), this method is compared with Due to the improvement of the accuracy and anti-noise ability of the existing technology for image edge detection, there is a problem that it cannot still have a good recognition in a complex noise environment, and the robustness is poor.
The traditional Roberts edge detection operator is accurate in edge positioning, but sensitive to noise

Method used

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  • Improved Prewitt operator-based fire complex environment image detecting method
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  • Improved Prewitt operator-based fire complex environment image detecting method

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Embodiment Construction

[0042] The technical solutions in the embodiments of the present invention will be described clearly and in detail below with reference to the drawings in the embodiments of the present invention. The described embodiments are only some of the embodiments of the invention.

[0043] The technical scheme that the present invention solves the problems of the technologies described above is:

[0044] Such as figure 1 Shown is a fire complex environment image detection method based on the improved Prewitt operator, which includes the following steps: S1, using the morphological smoothing algorithm to filter the simulated fire complex environment image, retain edge information and remove noise, the specific steps are : use the opening operation in morphology, let the structural element be s 1 , define the opening operation as:

[0045]

[0046] In the formula, F represents the collection of fire complex environment images, Indicates the opening operation, s indicates the str...

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Abstract

The invention provides an improved Prewitt operator-based fire complex environment image detecting method. The method comprises the steps of: S1, filtering an analog fire complex environment image byutilizing a morphological smoothing algorithm, preserving edge information and removing noise; S2, calculating single-scale morphological gradient and multi-scale morphological gradient of the image;and S3, carrying out edge detection on the multi-scale morphological gradient image by adopting an improved Prewitt edge detection operator to obtain the edge information of the analog fire complex environment image.

Description

technical field [0001] The invention belongs to the technical field of factory equipment control, and in particular relates to an improved Prewitt operator fire complex environment image detection method. Background technique [0002] Image edge detection technology is mainly used in monitoring and access control facilities for road traffic control or car access monitoring. Now it is gradually applied in the automatic control system of the factory. For the stacking of a large number of goods in the factory, the existing method is manual stacking, which is time-consuming and labor-intensive. It is necessary to perform edge detection on the stacked image to achieve automatic stacking. [0003] In addition, image edge detection technology, like camera sampling technology, digital-to-analog conversion technology, and interface technology, is one of the core technologies of security systems. It has a profound research foundation. In the past 50 years since 1965, many domestic and...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/13G06T7/12G06T5/30G06T5/00G06T7/136
CPCG06T5/30G06T7/12G06T7/13G06T7/136G06T5/70
Inventor 刘胜贵
Owner 卞家福
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