Image classification method and apparatus, electronic device, and readable storage medium
A classification method and image technology, applied in the field of image processing, can solve the problems that digital images cannot be classified efficiently and accurately, and achieve the effect of improving accuracy and efficiency
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Embodiment 1
[0057] figure 1 A schematic flow chart of an image classification method provided by an exemplary embodiment of the present invention, as figure 1 As shown, the execution subject of the image classification method in this embodiment can be any electronic device with data processing capabilities, for example, a server, a desktop PC, a notebook computer, a tablet computer PAD (portable android device, referred to as "PAD") or Various mobile or non-mobile electronic devices such as mobile phones. The image classification method of this embodiment may specifically include:
[0058] Step 101, obtaining at least one candidate sub-image in the image to be classified.
[0059] In this step, the so-called candidate sub-images are partial images segmented from the image to be classified, wherein the segmentation principle of the candidate sub-image can be determined by those skilled in the art according to the image characteristics of the image to be classified, and this embodiment do...
Embodiment 2
[0070] figure 2 A schematic flow chart of an image classification method provided by another exemplary embodiment of the present invention, such as figure 2 As shown, on the basis of the previous embodiment, the image classification method of this embodiment specifically includes:
[0071] Step 201, performing image preprocessing on the image to be classified to obtain the image to be classified after image preprocessing.
[0072] Wherein, the preprocessing includes at least one of the following processing: size normalization adjustment, image position correction, and image frame definition adjustment.
[0073] In this step, in order to improve the efficiency of image processing and the accuracy of image category recognition, the images to be classified can be standardized. The processing method can be to normalize the size of the images to be classified, for example, to determine the Resolution, according to the standard resolution, the resolution of the image to be class...
Embodiment 3
[0115] Figure 4 A schematic flow chart of an image classification method provided by another exemplary embodiment of the present invention, such as Figure 4 As shown, on the basis of the above-mentioned embodiments, in order to further improve the efficiency of image classification, the images to be classified can be identified step by step. For example, first adopt the following steps 401 to 405 to identify the image to be classified, if the image category of the image to be classified cannot be identified, then you can continue to use the method from step 407 to step 410, that is, use the first embodiment and / or implement The method in Example 2 is used for further fine-grained identification. In this way, the recognition efficiency can be improved on the basis of ensuring the recognition accuracy. The identification and classification methods of steps 401 to 405 will be described in detail below. The implementation principles of steps 407 to 410 are similar to those of ...
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