Multi-feature points constrained histogram regularization method for color normalization of remote sensing images

A remote sensing image and histogram technology, applied in image enhancement, image data processing, instruments, etc., can solve problems such as limiting the accuracy of color normalization and histogram shift

Active Publication Date: 2018-09-07
ZHEJIANG UNIV OF TECH
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Problems solved by technology

[0020] Compared with the SML method and the GML method, the dynamic histogram regularization can achieve better accuracy, but there are still some problems: the dynamic histogram regularization may affect the overall morphological characteristics, such as the shift of the peak and valley points of the histogram, which limits the color normalized precision

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  • Multi-feature points constrained histogram regularization method for color normalization of remote sensing images
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  • Multi-feature points constrained histogram regularization method for color normalization of remote sensing images

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[0080] In the present invention, the histogram is regarded as a curve formed by connecting the proportions (percentages) of different gray values ​​sequentially according to the gray value from small to large, and the Douglas algorithm is used to extract morphological feature points, which are divided into different types ; Then establish the corresponding relationship through the minimum distance and the feature point type; then establish the mapping relationship according to the histogram regularization method constrained by multiple feature points, and perform grayscale resampling on the input image to obtain the result image.

[0081] With reference to the accompanying drawings, figure 1 It is a flow chart of the method of the present invention. In practice, there are the following steps:

[0082] Step 1: Histogram Statistics

[0083] Statistically input image I separately S and reference image I R Histogram of and normalized:

[0084]

[0085] Among them, h(i) rep...

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Abstract

The present invention discloses a normalization method for a multi-feature point constraint histogram of remote sensing image color normalization. The method comprises: accounting histograms of input images and reference images separately and performing normalization to obtain ratios of different gray-scale values, and performing filtering by using a gaussian filter to obtain smooth histograms; considering the smooth histograms as curves formed by connecting corresponding gray-scale value ratios of the gray scale in ascending order, and extracting feature points by a Douglas algorithm; based on gray scale range normalization treatment of the histograms, establishing correspondence relations between the feature points according to a minimum distance and a feature point type; establishing a gray scale equation from the input images to the reference images by using histogram normalization under a constraint of the feature points; and performing gray scale resampling on the input images according to the gray scale equation to obtain a result image. According to the normalization method for a multi-feature point constraint histogram of remote sensing image color normalization provided by the present invention, gray scale value compression or expansion situations of different gray scale ranges can be fitted, so that error accumulation and transfer are overcome.

Description

technical field [0001] The invention relates to a multi-feature point constrained histogram regularization method for remote sensing image color normalization. Background technique [0002] Affected by factors such as vegetation seasonal changes, sensor distortion, and differences in atmospheric conditions at the time of acquisition, there are color differences between remote sensing images acquired at different times, including differences in the overall grayscale distribution and color changes of some ground features. The purpose of color normalization is to eliminate the color difference between the two images, so that seamless composite images can be obtained in applications such as image mosaic. The histogram is a statistical measure of the distribution of different gray levels on the image. Images acquired at different times in the same area should have the same histogram without considering the change of ground features. In practice, affected by the aforementioned fa...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/40
Inventor 吴炜王卫红杨海平夏列钢
Owner ZHEJIANG UNIV OF TECH
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