The invention provides an intelligent long graph slitting method and
system based on element weight optimization and
convolution punishment, and the method comprises the steps: optimizing the weights of text, table and image elements, and designing a
convolution punishment mechanism, so as to more globally and intelligently slit a long graph. Compared with a traditional long
image segmentation method (a fixed height segmentation method, a blank area detection method and a
machine learning
single element protection method), the method can forcibly avoid a high-density content area, is adaptive to different equipment sizes, achieves the full-
automatic segmentation and
paragraph combination, does not need to manually intervene in the segmentation result again, and improves the user experience. Experimental data show that compared with a traditional long graph segmentation method, the intelligent long graph segmentation method based on element weight optimization and
convolution penalty has the advantages that the element
cutting rate and the number of
paragraph fractures are remarkably reduced, the
user satisfaction is remarkably improved, and the intelligent long graph segmentation method based on element weight optimization and convolution penalty is suitable for scenes such as mobile terminal content display, document printing and typesetting,
social media sharing and the like.