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An image adaptation method based on edge vision protection

An edge and image technology, applied in the field of image adaptation based on edge vision protection, can solve problems such as inability to fundamentally enhance the effect and low efficiency, maintain the integrity and continuity of contours, reduce distortion and interruption, and improve display. effect of effect

Active Publication Date: 2022-07-08
石家庄邮电职业技术学院
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AI Technical Summary

Problems solved by technology

[0009] The multi-operation adaptation method is to comprehensively use line clipping, uniform scaling, uniform clipping and other methods to achieve relatively good results when a single method fails in a specific order and quantity. The efficiency is low and the effect cannot be fundamentally enhanced

Method used

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  • An image adaptation method based on edge vision protection
  • An image adaptation method based on edge vision protection
  • An image adaptation method based on edge vision protection

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Embodiment Construction

[0088] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention, but not to limit the present invention.

[0089] refer to figure 1 ,like figure 1 As shown, an image adaptation method based on edge vision protection includes the following steps:

[0090] S1, calculate the importance map: calculate the weighted importance map according to the gradient map, the saliency map, and the edge line;

[0091] S2, optimize the energy map: take the importance map as the basic energy map, and on this basis, optimize the energy map by using the visual characteristics of the inclination and bending of the line;

[0092] S3, line cropping adaptation: According to the optimized energy map, perform forward l...

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Abstract

The invention discloses an image adaptation method based on edge visual protection, comprising the following steps: S1, calculating an importance map: calculating a weighted importance map according to a gradient map, a saliency map and edge lines; S2, optimizing an energy map: The importance map is used as the basic energy map. On this basis, the energy map is optimized by using the visual characteristics of the inclination and bending of the line; S3, line cutting adaptation: According to the optimized energy map, the forward line cutting operation is performed to achieve Image adaptation. On the premise of ensuring the display effect of the salient object, the present invention improves the continuity and smoothness of the edge and the outline by maintaining the shape of the edge outline of the non-salient area.

Description

technical field [0001] The invention relates to an image adaptation method, in particular to an image adaptation method based on edge vision protection. Background technique [0002] At present, with the rapid development of computer-aided diagnosis technology, a variety of medical imaging technologies have emerged in clinic to obtain medical images of internal tissues and organs of the human body, such as computed tomography (CT), magnetic resonance imaging (NMRI), medical ultrasound Imaging (UI), etc. However, the pixels of these medical images are fixed or set only once, causing the images to be displayed on different display devices (such as computer screens, projectors, laptops, tablets, smartphones, etc.) and need to be adjusted to suit different resolutions and display properties such as aspect ratio. The process of image adjustment is also known as image retargeting or image display adaptation. The traditional image adaptation methods mainly include uniform scalin...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/33G06T7/11G06T7/13G06T7/181G06T7/00G06T5/00
CPCG06T7/33G06T7/11G06T7/13G06T7/181G06T7/0012G06T5/002G06T2207/20132G06T2207/20024G06T2207/30004
Inventor 刘庆芳刘海云王月春李冀东刘涛
Owner 石家庄邮电职业技术学院
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