A Registration Method of Visible and Infrared Images Based on Multi-scale Segmentation and SIFT
A multi-scale segmentation and infrared image technology, which is applied in image analysis, image data processing, instruments, etc., can solve the problems of registration process errors and inaccurate feature information extraction, so as to improve registration accuracy, improve universality and The effect of robustness
A multi-scale segmentation and infrared image technology, which is applied in image analysis, image data processing, instruments, etc., can solve the problems of registration process errors and inaccurate feature information extraction, so as to improve registration accuracy, improve universality and The effect of robustness
CN103337077BActive Publication Date: 2016-03-16WUHAN UNIV
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[0047] The technical solution of the present invention will be described in detail below in conjunction with the drawings and embodiments.
[0048] please see figure 1 , the technical solution adopted in the present invention is: a method for registration of visible light and infrared images based on multi-scale segmentation and SIFT, comprising the following steps:
[0049] Step 1: Determine the visible light source image and the infrared source image, and preprocess the visible light source image and the infrared source image respectively. The preprocessing includes processing the visible light source image by Gaussian filtering and performing linear enhancement processing on the infrared source image;
[0050] Step 2: Set the initial parameter value, the initial parameter value includes scale factor, compactness factor and shape factor, and perform multi-scale image segmentation on the preprocessed visible light image and infrared image respectively;
[0051] Step 3: use t...
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The invention discloses a registration method for visible light and infrared images based on multi-scale segmentation and SIFT, which comprises the following steps: step 1, preprocessing is performed to visible light images and infrared images, wherein Gaussian filtering processing is performed to the visible light images, and linear enhancement processing is performed to the infrared images; step 2, an initial parameter value which includes a scale factor, a compact factor and a shape factor is set, and the multi-scale image segmentation is performed to the visual light and infrared images subjected to preprocessing; step 3, the SIFT registration is performed to the visible light and infrared images subjected to the multi-scale image segmentation, calculation parameters of homonymy point selection transformation models are found out and the registration is performed to source images; step 4 and step 5, judgment is performed, if the visible light images and the infrared images are not subjected to accurate registration or the registration accuracy does not meet the requirement of the set threshold, the operation is returned to step 2 to adjust the parameter value of the multi-scale image segmentation method till the registration accuracy of the visual light images and infrared images meets the requirement of the set threshold, iteration is stopped, and the registration result is output.
Description
technical field [0001] The invention relates to the technical field of remote sensing image processing, in particular to a method for registering visible light and infrared images based on multi-scale segmentation and SIFT. Background technique [0002] Image registration (ImageRegistration) technology is the process of spatially aligning images taken in the same area at different angles of view, at different times, with different sensors or under different lighting conditions. This technology is extremely critical in the process of heterogeneous spatial data acquisition and integration. Step, to find the best geometric transformation parameters is the ultimate goal of image registration. Visible light sensor has always been one of the important sensors in the field of remote sensing because of its very high image resolution and the image obtained is consistent with the human visual effect. However, visible light images are greatly affected by weather conditions such as clo...
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Patent Timeline
16 Mar 2016
Publication
CN103337077B
- IPC
- G06T7/00
- Inventors
- 眭海刚; 马国锐