Image format identification method and apparatus
An image format and recognition method technology, applied in the field of image recognition, can solve problems such as reducing user experience, and achieve the effects of improving user experience, reducing user operations, and improving recognition accuracy
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Embodiment 1
[0052] figure 1 It is a flow chart of an image format identification method provided by Embodiment 1 of the present invention. This embodiment is applicable to quickly identify whether an image satisfies the three-dimensional conversion format. This method can be implemented by the image format identification device provided by the embodiment of the present invention. To execute, the device can be implemented in software and / or hardware, and the device can be integrated into a terminal with a 3D imaging function, such as a smart phone, a computer, or a digital TV with a 3D function. see figure 1 , the method specifically includes:
[0053] S110. Acquire an image to be recognized, where the image to be recognized includes a first image area and a second image area.
[0054] In this embodiment, the image to be recognized is an image including two image areas, and each image area displays an image independently, wherein the first image area and the second image area can be dist...
Embodiment 2
[0073] Figure 4 It is a flow chart of an image format recognition method provided by Embodiment 2 of the present invention. On the basis of the above embodiments, it is further provided that according to the pixel point information in the corresponding pixel collection line in each image area, determine the Whether the image meets the method of 3D conversion format. Correspondingly, see figure 2 , the method specifically includes:
[0074] S210. Acquire an image to be recognized, where the image to be recognized includes a first image area and a second image area.
[0075] S220. Determine a preset number of pixel acquisition lines in each image area according to a preset sampling rule, and the pixel acquisition lines in the first image area and the pixel acquisition lines in the second image area satisfy the preset position corresponding rule.
[0076] S230. Obtain an average luminance value of each pixel in the corresponding pixel collection line in each image area.
[...
Embodiment 3
[0100] Figure 5 It is a schematic structural diagram of an image format recognition device provided in Embodiment 3 of the present invention, and the device may specifically include:
[0101] An image acquiring device 310, configured to acquire an image to be recognized, wherein the image to be recognized includes a first image area and a second image area;
[0102] The pixel collection line determination module 320 is configured to determine a preset number of pixel collection lines in each image area according to a preset sampling rule, and the pixel collection lines of the first image area and the pixel collection lines of the second image area meet the preset position correspondence rule;
[0103] The image judging module 330 is used to determine whether the image to be recognized satisfies the three-dimensional conversion format according to the pixel point information of the corresponding position pixel collection line in each image area;
[0104] The image processing...
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