Intelligent fusion method for depth images based on area shades and red green blue (RGB) images

Abstract

The invention relates to an intelligent fusion method for depth images based on area shades and red green blue (RGB) images. The intelligent fusion method is characterized comprising the steps of collecting the depth images and the RGB images of the same scene at the same moment, selecting large area invariance associated characteristics of the depth images and the RGB images; utilizing the large area invariance associated characteristics to perform image registration; setting an interested depth range in the depth images after registration, and obtaining new depth images only containing the interested depth range; generating the shades for target objects; and performing fusion on the shades and the registered RGB images. The intelligent fusion method has the advantages that the fused images contain depth information and color and texture information, algorithm complexity is reduced, accuracy in target object recognition is greatly improved, the detection speed and the tracking speed are improved, and registration precision is enhanced.

Description

technical field [0001] The invention relates to an intelligent fusion method of a depth image and an RGB image based on an area mask, and belongs to the field of machine vision and image fusion. Background technique [0002] Image fusion is the synthesis of images or image sequence information about a specific scene acquired by two or more sensors at the same time or at different times to generate new processing information about the interpretation of the scene. It cannot be obtained from a single image source, and more reliable, richer and more accurate useful information can be obtained after fusion. [0003] Prior to this, many patents on image fusion algorithms have been published. For example, the patent with the publication number CN1932882 and titled "A Feature-Level Fusion Method of Infrared and Visible Light Sequence Images Based on Target Detection" uses wavelet transform to fuse infrared images and visible light images. The publication number is CN102117483A, an...

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Problems solved by technology

[0004] The patent documents disclosed above all reflect a problem in multi-source image fusion research: it is difficult to design an image fusion algorithm that can adapt to various image sources, so in practical applications, different image sources are generally developed for different image sources. Image fusion algorithm, the existing algorithm cannot satisfy the fusion of depth image and RGB image

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