Streetscape image feature detecting and matching method based on same color scale

A scale-invariant, feature detection technology, applied in image analysis, image data processing, instruments, etc., to solve problems such as low matching accuracy, loss of color information, and difficulty in meeting the real-time processing requirements of street view images. The effect of reducing search space, reducing computation and storage space

Inactive Publication Date: 2014-02-26
WUHAN UNIV
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Problems solved by technology

[0007] At present, most of the existing street view image matching technologies are aimed at a single object in buildings and roads, and usually convert the color image into a grayscale image for feature extraction and matching, which loses the color information and the matching accuracy is not high
According to the real-time and fast characteri...

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  • Streetscape image feature detecting and matching method based on same color scale
  • Streetscape image feature detecting and matching method based on same color scale
  • Streetscape image feature detecting and matching method based on same color scale

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Embodiment Construction

[0071] The technical scheme of the present invention will be further described below in conjunction with the drawings, and the specific steps are as follows:

[0072] Step 1: Pre-processing of street view images to be matched.

[0073] The Wallis filter is used to filter the matched street view image to enhance the contrast of the original street view image, especially to enhance the image texture mode at different scales in the street view image, and improve the number and accuracy of feature point extraction.

[0074] Step 2: Perform color space conversion based on the color information of the preprocessed street view image.

[0075] The street view image can obtain the color invariant of each color channel after color space conversion, so that the feature descriptor has color non-linear transformation invariance and color uneven translation transformation invariance.

[0076] In order to be suitable for the extraction and matching of color features, the diagonal-offset model (see for...

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Abstract

The invention provides an automatic streetscape image detecting and matching method based on the same color scale. The automatic streetscape image detecting and matching method comprises the following steps that a color invariant is used as an input image; all channels of the color of the input image are comprehensively processed based on a scale space theory by adopting an improved Harris detection algorithm, and feature points are extracted; furthermore, color features of the feature points are added to construct a description vector to obtain a stable feature descriptor; feature vector calculation is performed by adopting a relevant coefficient as a similarity measurement function; a main direction restriction is added into a search strategy, so that image matching is implemented. The automatic streetscape image detecting and matching method disclosed by the invention has the advantages of accuracy in feature positioning, high precision, high timeliness, high data processing speed and the like and is suitable for real-time detecting and matching of streetscape images.

Description

Technical field [0001] The invention belongs to the application field of remote sensing and photogrammetric image processing, and particularly relates to a street view image feature detection and matching method based on invariable color scale. Background technique [0002] With the rapid development of computer technology and stereo vision technology, digital image processing technology is constantly improving, especially in recent years, the concept of digital city and smart city has been put forward, making basic information resources and corresponding image processing technology widely used in various fields of society . Digital city construction is an important application field of current GIS technology, remote sensing image processing and photogrammetry technology. In particular, the establishment of various three-dimensional models of major urban objects relies on image processing and photogrammetry technology. The primary task of constructing a 3D city model is to achie...

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Application Information

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IPC IPC(8): G06T7/00
Inventor 万幼川何培培汤瑞华高贤君
Owner WUHAN UNIV
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