An automatic land return method and device in typeset

Abstract

The invention discloses an automatic retrogradation method and a retrogradation device in the typesetting process, and the technology is based on a GrabCut method that is applied to the typesetting area. In addition, the invention also comprises the steps that a memory block is allocated to every colorful space of the image according to the different colorful spaces of the image, and a rainbow pseudo-color coding is adopted to convert a gray image and a binary image into an image having three colors such as red, green and blue, and for the image having larger size, the weighing, the average value, the covariance and the Gaussian probability distribution within the range of a pixel point 4 are calculated. Through the technical proposal of the invention, the automatic retrogradation of the image containing different colorful spaces in the typesetting process is manually completed alternatively, and a correct partition result can be obtained; at the same time, a cancel operation can be carried out during the automatic retrogradation process, thereby being convenient for the user to complete the automatic retrogradation or re-select the retrograding area.

Description

technical field [0001] The invention relates to the field of image processing, in particular to a technology for automatically retreating ground during typesetting. Background technique [0002] As a classic problem in the field of image processing, image segmentation has always been one of the research hotspots. The so-called image segmentation refers to distinguishing the part of the user's interest in an image (called the target) from other parts (called the background), so as to perform subsequent processing on the target. With the development of science and technology, the technology used in image segmentation has expanded from simply using the information of the image itself (such as gray level, gradient value, etc.) to segmenting in combination with other disciplines (such as pattern recognition, neural network, etc.) , scholars have proposed many segmentation methods. However, so far, all the segmentation methods are difficult to achieve the effect once and for all...

AI Technical Summary

Problems solved by technology

However, the GrabCut method cannot be simply applied to the typesetting process, because this method only deals with images in the red, green and blue (RGB) three-color color space. For images containing more color spaces (such as CMYK), the color space is converted to After RGB color, certain information will inevitably be lost; for grayscale images or even binary images, since there are only 256-level or even 2-level grayscale information, it is found through experiments that it is difficult to achieve good results by directly using the GrabCut method

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