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Remove background function can help you with focusing only on the main object. Offers two types of background removal (histogram and canny), and each can be useful for different kinds of images. The Canny background removal uses uses either canny edge detector, dilation, and erosion or OpenCV histogram.
Canny Edge Histogram
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When removing background using the Canny Edge detector, you can set the blur size (it blurs the image based on the data of pixels in an NxN rectangle, you set the N in the “Blur” field). Threshold is for setting the size of the edges that will be kept. The rest are settings for Dilataion and Erosion.
Histogram removes background based on the frequency of colors of pixels. The pixel values with frequency between Extreme 1 and Extreme 2 will be kept.
The Background Color table can be used to choose which color to set the removed part of the image to.
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Remove background is useful when the background is distracting and you want the AI model to focus only on a particular object on the image. |
Unifier
Unifies the position and angle of objects or just puts the angle of the object into Context (if this option is ticked). Remove background that needs to be used before Unifier and have the same background color selected.
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