Image processing method and apparatus thereof
An image processing device and an image processing technology, which are applied in the field of image processing, can solve the problems that image processing cannot be divided into regions or the detection of target regions is inaccurate, etc., and achieve the effects of strong robustness, high accuracy, and reduced computing time.
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Embodiment 1
[0021] figure 1 It is a flow chart of an image processing method provided by Embodiment 1 of the present invention. The method can be executed by an image processing device. The device can be implemented by means of hardware and / or software, and can generally be independently configured and implemented in a terminal. The method of this embodiment.
[0022] The method of this embodiment specifically includes:
[0023] S110. Acquire a depth image and an RGB image in the same scene.
[0024] Among them, the RGB image can be understood as a color image, and the color of the RGB image is obtained through the changes of the three reference color channels of red (Red, R), green (Green, G), and blue (Blue, B) and the relationship between them. Stack to get a variety of colors. The depth image can represent the color resolution of the image through the image depth, that is, the number of bits used to store each pixel, and the pixel value in the depth image reflects the depth of fiel...
Embodiment 2
[0035] Figure 2A It is a flow chart of an image processing method provided by Embodiment 2 of the present invention. Such as Figure 2A As shown, in this embodiment, on the basis of the above embodiments, it is optional to divide the RGB image according to the depth value in the depth image to obtain at least two regional images, and processing at least one of the regional images includes: according to the The first depth value of each pixel of the depth image, determine the second depth value corresponding to each pixel of the RGB image; divide the RGB image according to the second depth value and preset rules to obtain at least two regional images ; Processing at least one of the region images corresponding to the preset processing model.
[0036]On this basis, further, before determining the second depth value corresponding to each pixel point of the RGB image according to the first depth value of each pixel point of the depth image, it may further include: calculating t...
Embodiment 3
[0060] image 3 It is a schematic structural diagram of an image processing device provided in the third embodiment. The device can be implemented by means of hardware and / or software, and generally can be independently configured to implement the method of this embodiment in the terminal. Such as image 3 As shown, the image processing device specifically includes: an original image acquisition module 310 , an area image processing module 320 and an image fusion module 330 .
[0061] Wherein, the original image acquisition module 310 is used to acquire the depth image and the RGB image in the same scene; the area image processing module 320 is used to divide the RGB image according to the depth value in the depth image to obtain at least two area images, Processing at least one region image; an image fusion module 330, configured to fuse the processed region image with the RGB image.
[0062] On the basis of the above-mentioned embodiments, the area image processing module...
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