Image lossless labeling method and system

Abstract

The invention discloses an image lossless labeling method and system. The method comprises the steps that 1, a web server side receives an image to be labeled, and the image is transmitted to a browser side; 2, the browser side sets a canvas element to load the image to be labeled; 3, the browser side monitors mouse clicking events in real time, information associated with the mouse clicking events is collected and transmitted to the web server side, and each mouse clicking event is associated with a to-be-labeled point in the image to be labeled and corresponding labeling information; 4, the web server side dynamically labels a labeling point associated with the mouse clicking events and the corresponding labeling information in the image to be labeled, the dynamically labeled image is transmitted to the browser side and dynamically loaded through the canvas element, and therefore lossless labeling of the image is achieved.

Description

technical field [0001] The invention belongs to the field of image processing, in particular to an image lossless labeling method and system. Background technique [0002] Image annotation technology mainly uses some means to add some text, indicating arrows, local detail enlargement, lines, dimensions and other information to the image in order to express more accurate information. Users can more accurately understand the content conveyed by the image through the annotation information, and researchers can conduct more in-depth analysis based on the annotation content. In addition, image annotation, especially 3D image annotation can better assist designers to create excellent works. Image annotation technology is of great significance to our life, study, research and other aspects. [0003] At present, the image annotation function is mainly realized through various image processing software. These image processing software functions are powerful, but the software takes...

AI Technical Summary

Problems solved by technology

These image processing software functions are powerful, but the software takes up too much space, lacks the necessary interaction, and is time-consuming to learn and use.

On the other hand, using image editing software to annotate an image is a direct operation on the original image. It is difficult to undo after the annotation is completed, and it also destroys the user's original image. If the user wants to use the original image data again, he can only do it manually before annotating. backup, which also greatly reduces the user experience

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