Data processing method and system and picture editing method and system

Abstract

The invention discloses a data processing method and system and a picture editing method and system. The data processing method comprises putting constraint conditions on data; determining an object in the data; and according to a preset rule, editing the data according to the object and the constraint conditions. The invention further discloses a data process system, a picture editing method anda picture editing system. The data processing method and system and the picture editing method and system are simple and high in efficiency and robustness.

Description

technical field [0001] The invention relates to data processing technology, and further relates to a picture editing method and system. Background technique [0002] With the development of computer technology, the use of digital information is becoming more and more extensive. As one of the digital information, digital pictures (pictures for short) are used in more and more fields, and the number of pictures processed is increasing day by day. For example, in daily work, it is often necessary to edit the pictures in a series of pictures so that the objects in them (of course, it can also be the whole picture) satisfy such as proportional relationship (for example, to make the objects in the picture satisfy a certain proportional relationship, Such as projection ratio relationship, specific ratio relationship, etc.), color, rendering, flipping, rotation, background processing, transformation, cropping, and image attribute information including image name, resolution, etc. ...

AI Technical Summary

Problems solved by technology

[0005] If it is necessary to modify other parts, or even image attribute information, it will be more complicated, and it is difficult to allow computers and other smart devices to perform batch and automatic processing on it using existing technical means

[0006] Further, in the recognition of the object 10 in the picture 1 (the target image in the picture) or its outline boundary, it is generally based on the difference between the pixel values ​​of the background image 13 and the object 10 (such as Adobe's well-known software Photoshop) To judge the boundary, that is, by comparing whether the pixel values ​​of adjacent pixels are the same (or the same as the selected sample), and in the real image, the same boundary of any image, or the same border or background outside the border (such as a white border or Background, etc.), the pixel values ​​of the image will not be absolutely consistent (possible shadows or color casts, etc.), in order to realize identification and selection, generally set a certain tolerance (threshold) range for the pixel value, in the pixel Pixels whose values ​​meet the corresponding threshold range are considered to be the same area. This method is easy to select pixels in the image that meet the above conditions but do not belong to the image area that needs to be selected, or even identify the border incorrectly, especially For images with complex backgrounds or borders, it is difficult to accurately identify the object boundaries in them, and the recognition method also requires a large amount of computation.

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