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Parking space state detection method based on gray level co-occurrence matrix

A gray-scale co-occurrence matrix, gray-scale matrix technology, applied in the direction of instruments, character and pattern recognition, computer parts, etc., can solve problems such as being susceptible to interference, unable to count empty parking spaces in real time, etc., to reduce costs and the possibility of damage low effect

Active Publication Date: 2021-07-23
杭州图歌科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Using the statistical traffic flow at the entrance of the parking lot, you can only know the remaining space of the current parking space, and cannot count the empty parking spaces in real time
Installing sensors within the parking space has relatively high requirements on the surrounding environment and is very susceptible to interference

Method used

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  • Parking space state detection method based on gray level co-occurrence matrix
  • Parking space state detection method based on gray level co-occurrence matrix
  • Parking space state detection method based on gray level co-occurrence matrix

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Embodiment 1

[0062] Such as figure 1 and figure 2 As shown, the present embodiment provides a parking space state detection method based on gray co-occurrence matrix, comprising the following steps:

[0063] SO1: Obtain the video stream image of the parking space through the camera installed near the parking space to collect the video material of the parking space, select some of the frames as sample images, and the others as images to be detected, and obtain the parking space in the field of view of each frame of the sample image The effective area is the largest inscribed rectangle in the boundary quadrilateral of the parking space in the field of vision, such as image 3 As shown, the effective area has a car state and a car-free state, the car state is sample A, and the car-free state is sample B;

[0064] SO2: Convert the sample image into a single-channel grayscale image through the averaging method, and perform normalized conversion on the grayscale of the grayscale image, so tha...

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Abstract

The invention discloses a parking space state detection method based on a gray level co-occurrence matrix. The method comprises the following steps: acquiring a video stream image; converting the video stream image into a single-channel grayscale image; obtaining a gray matrix of each frame of image, and extracting a regional gray matrix where the parking space is located from the complete gray matrix; normalizing the regional gray matrix and calculating a gray co-occurrence matrix of the regional gray matrix; and calculating corresponding characteristics according to the gray-level co-occurrence matrix and evaluating the state of the parking space. The method is suitable for judging whether a parking space with a clear view is a vacant parking space or not by using an image, the state of the parking space can be quickly and accurately evaluated, and errors caused by illumination influence are reduced to a certain extent.

Description

【Technical field】 [0001] The invention belongs to the field of digital image processing, and in particular relates to a parking space state detection method based on a gray scale co-occurrence matrix. 【Background technique】 [0002] With the improvement of people's living standards and the improvement of car consumption ability, cars have entered more and more families. Correspondingly, people's demand for parking spaces is getting higher and higher, and the contradiction between supply and demand of parking space resources is becoming more and more intense. And with the development of autonomous driving technology in full swing, parking space monitoring and parking guidance technology has gradually shown its necessity. How to achieve real-time monitoring of parking spaces, real-time and accurate monitoring of the use of parking spaces, and guidance and deployment of vehicles have become important topics. [0003] In recent years, the management of private closed parking l...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
CPCG06V20/41G06V20/46G06V20/52Y02T10/40
Inventor 华璟俞庭彭浩宇胡峥吕佳俊
Owner 杭州图歌科技有限公司