Systems and methods for image segmentation

A method for image segmentation, implemented on a computing device including at least one processor and at least one storage medium, the method comprising:

• obtaining an image;
• dividing the image into a plurality of image blocks;
• determining, for each of the plurality of image blocks, a compressed representation of one or more features of the image block;
• grouping the plurality of image blocks into at least two different categories based on the plurality of compressed representations;
• and
• extracting a region of interest from the image based on at least one of the at least two different categories of the plurality of image blocks, wherein
• for each of the plurality of image blocks, the compressed representation of the one or more features of the image block includes a set of binary codes;
• and
• the plurality of image blocks are grouped based on a bit distribution in the set of binary codes.

A non-transitory computer readable medium, comprising a set of instructions for image segmentation, wherein when executed by at least one processor, the set of instructions directs the at least one processor to:

• obtain an image;
• divide the image into a plurality of image blocks;
• determine, for each of the plurality of image blocks, a compressed representation of one or more features of the image block;
• group the plurality of image blocks into at least two different categories based on the plurality of compressed representations;
• and
• extract a region of interest from the image based on at least one of the at least two different categories of the plurality of image blocks, wherein
• for each of the plurality of image blocks, the compressed representation of the one or more features of the image block includes a set of binary codes;
• and
• the plurality of image blocks are grouped based on a bit distribution in the set of binary codes.