Method and device for caricature segmentation
A technology for manga and image segmentation, applied in the field of manga segmentation methods and devices, can solve the problem of inability to accurately segment manga texture regions
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Embodiment 1
[0026] This embodiment provides a method for segmenting comics, which includes the following steps. The flowchart is as follows: figure 2 Shown.
[0027] S100: Divide the input image area.
[0028] In this step, the input image is divided into regions based on user input and texture features, and the region of the input image is divided into an initial region and a non-initial region, where the user input includes at least one stroke, and the initial region is the region where the user input strokes The area with similar texture, the non-initial area is the area with dissimilar texture to the area where the user entered the stroke; that is, the user only needs to draw one or a few strokes in the area that he wants to divide, and this step can realize the user The area you want to divide is divided into initial areas, and other areas are divided into non-initial areas.
[0029] Specifically, step S100 includes the following steps, and the flowchart is as follows: figure 2 Shown.
[...
Embodiment 2
[0082] Based on the comic segmentation method provided in the first embodiment, this example applies it specifically to Figure 5 Image segmentation shown.
[0083] The system enters a comic picture, such as Figure 5 As shown in (a), the user uses the brush tool of the system to draw a stroke in the area he wants to segment in the comic picture, such as Figure 5 (b) shows that the user is Figure 5 (b) Draw a stroke on the moon to indicate that the user wants to Figure 5 The moon in (a) is segmented, and based on the user's input strokes, using steps S101 to S103 of the first embodiment to perform texture feature analysis on the comic picture first to obtain a texture similarity map, such as Figure 5 As shown in (c), the initial area and non-initial area are obtained through the image segmentation algorithm, such as Figure 5 (d) shows, where, Figure 5 The white area in (d) is the initial area, and the black area is the non-initial area. Since the initial area segmented based o...
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