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Image segmentation vs Adobe Photoshop (PS)
2022-07-27 12:04:00 【51CTO】
Image segmentation sounds hard to understand its sum PS What does it matter ? We're familiar with PS It's for P chart 、 Cutout . Image segmentation can be understood as matting , Vision based AI The means of , Realize one click batch matting . Completely replace the highly repetitive work .
Image segmentation technology can realize second level automatic subject 、 Scene pixel level recognition , Make 4 Channel transparent material . Not only to achieve the level of hair fine matting , For the height of the hollow body 、 Complex background and other scenes have a good effect , And support people 、 cargo 、 There are three types of requirements , Can be widely used in e-commerce 、 retail 、 Pan entertainment 、 Personal applications and other scenarios . Images are usually three channel images JPEG Format , Include B G R Three channel component , The image is a rectangular four channel diagram, and the common format is PNG, Image edges can be irregular , Include B G R A Four channels ,A Used to control the transparency of the corresponding pixel .

PS Mainly for image editing , It has many editing functions , But its image processing requires designers to operate , Although its editing ability is relatively flexible , But for image editing needs like matting , Manual operation is a waste of time .
How about the effect of image segmentation ? We can see the effect of human segmentation .

You can see it , The segmentation of the human body is hair level , The result of this segmentation is that it can completely meet the needs of designers , And such a matting effect , Vision AI Ability to process many sheets per second . The popular poster design of deer class before , It is mainly based on the materials uploaded by users to design commercial posters . Among them, Luban has to mattress the uploaded image materials , So that the picture can be perfectly integrated into the poster , So as to achieve the effect of batch design poster . In fact, there are many application scenarios for image segmentation . It is slowly becoming a basic ability , Help more designers who need to deal with pictures , Or users without design ability .
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