A character denoising method and terminal based on binarization
A binarization and character technology, applied in the field of data processing, can solve problems such as the inability to identify connected domains of area noise points, poor denoising effect, etc.
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Embodiment 1
[0160] Such as figure 1 As shown, the present embodiment provides a binarization-based character denoising method, including:
[0161] S1. Binarize a character image of a single character to obtain a single character image.
[0162] Among them, image binarization is to set the gray value of the pixel on the image to 0 or 255, that is, the process of presenting an obvious black and white effect to the entire image. For example, in this embodiment, a single character in a character image is set to black, and the background of the character image is set to white. Binarizing the character image first can effectively distinguish the character from the background, and improve the efficiency of subsequent noise removal.
[0163] S2. Detect connected domains of the single-character image to obtain a first set of connected domains.
[0164] Among them, the connected domain refers to a collection of all connected points, and the connected points form a region, while the disconnected ...
Embodiment 2
[0285] Such as Figure 12 As shown, this embodiment provides a terminal, including one or more processors 1 and a memory 2, the memory 2 stores a program, and is configured to perform the following steps by the one or more processors 1:
[0286] S1. Binarize a character image of a single character to obtain a single character image.
[0287] Among them, image binarization is the process of setting the gray value of the pixels on the image to 0 or 255, that is, the process of presenting an obvious black and white effect to the entire image. For example, in this embodiment, a single character in a character image is set to black, and the background of the character image is set to white. Binarizing the character image first can effectively distinguish the character from the background, and improve the efficiency of subsequent noise removal.
[0288] S2. Detect connected domains of the single-character image to obtain a first set of connected domains.
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