Container contour detection method and device
A technology for contour detection and cargo box, applied in the field of image processing, can solve the problems such as inability to accurately identify the contour of the cargo box to determine the position of the cargo box, low sorting operation efficiency, etc., and achieve the effect of improving efficiency
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no. 1 example
[0033] Please refer to figure 2 , figure 2 A flow chart of a method for detecting the outline of a container provided by an embodiment of the present invention is shown. The container contour detection method includes the following steps:
[0034] Step S1, acquiring a first container image including at least one container.
[0035] see image 3 , the first container image may be a grayscale image including at least one container, it can be understood that the first container image may include one container, two containers, or three containers, Or more boxes. The boxes can be the same type of box or different types of boxes. The image of the first container can be captured by the camera 106 in real time.
[0036] Step S2, based on the selected instruction, determine the region of interest and the region of non-interest other than the region of interest in the first container image.
[0037] In the embodiment of the present invention, the region of interest may be an ar...
no. 2 example
[0075] see Figure 11 , Figure 11 A schematic block diagram of a container contour detection device 200 provided by an embodiment of the present invention is shown. The container contour detection device 200 includes a first image acquisition module 201, an interest region determination module 202, a second image acquisition module 203, a binary image acquisition module 204, a closed contour acquisition module 205, a circumscribing rectangle acquisition module 206, and a cargo box contour determination Module 207.
[0076] The first image acquiring module 201 is configured to acquire a first container image including at least one container.
[0077] The ROI determination module 202 is configured to determine ROIs and non-ROIs other than the ROIs in the first container image based on the selected instruction.
[0078] The second image acquiring module 203 is configured to set pixel values of both the region of interest and the region of non-interest in the first container...
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