Large cultural heritage picture pattern split-joint method based on characteristic

Abstract

A mosaicking method for large breadth cultural heritage image is provided, which relates to the technical field of image matching and image mosaicking. The invention comprises the following processing procedures: 1) aiming at the features of cultural heritage image, adopt an angle point detection method to extract the angle point of image, which can be taken as image feature for the matching of images; 2) calculate gradient of straight line connected between the matching points of nearby images, and; adopt a clustering method to pre-select the correlation points between images by utilizing the similarity of gradient; 3) adopt a best route method to generate a smaller mosaicking route with little pixel value, so as to evade the area with big pixel difference and remove the ghost image; 4) use a brightness component in HIS color space and blend the brightness via weighted function formula according to the mosaicking route. Compared with other mosaicking method, the method provided in the invention is able to greatly improve the speed for image mosaicking, eliminate the brightness difference of image, remove the ghost image in mosaicking and realize ideal mosaicking result.

Description

technical field

[0001] The invention relates to the fields of image matching and image splicing, and designs and implements a feature-based large-format cultural heritage image splicing method. Background technique

[0002] Image mosaic technology is widely used in the fields of computer graphics, computer vision and multimedia systems. It can stitch multiple images taken by ordinary digital cameras into a panoramic image, so as to truly reproduce the original scene. Therefore, image mosaic technology has very broad application prospects in digital protection of cultural heritage, virtual reality technology and remote sensing image processing that require large-format images or large scenes.

[0003] In recent years, with the rapid development of computer network technology and the popularization of digital cameras, image stitching technology has greater application value and has become a hot spot in academic research. At present, a variety of image stitching algorithms fo...

Examples

Embodiment Construction

[0060] In this embodiment, at first be to read in a group of image sequences in JPG or BMP format, the input image sequence requires partial overlapping content between adjacent images, after the image data is read in from the computer, the computer will call the present invention Mentioned methods to accomplish specific splicing work.

[0061] In the specific implementation, the following steps are completed in the computer:

[0062] Step 1: Read in each image in the image sequence according to the order in which the images are arranged.

[0063] Step 2: Determine whether the user has input an image focal length value. Enter the focal length value to enter the next step, otherwise go to the fourth step.

[0064] Step 3: Perform cylindrical projection transformation on each image according to the focal length value, and project each image onto the cylindrical plane.

[0065] Step 4: Use the Harris corner detection method to extract the corner points of the object in the ima...

technical field

[0001] The invention relates to the fields of image matching and image splicing, and designs and implements a feature-based large-format cultural heritage image splicing method. Background technique

[0002] Image mosaic technology is widely used in the fields of computer graphics, computer vision and multimedia systems. It can stitch multiple images taken by ordinary digital cameras into a panoramic image, so as to truly reproduce the original scene. Therefore, image mosaic technology has very broad application prospects in digital protection of cultural heritage, virtual reality technology and remote sensing image processing that require large-format images or large scenes.

[0003] In recent years, with the rapid development of computer network technology and the popularization of digital cameras, image stitching technology has greater application value and has become a hot spot in academic research. At present, a variety of image stitching algorithms fo...

Examples

Embodiment Construction

[0060] In this embodiment, at first be to read in a group of image sequences in JPG or BMP format, the input image sequence requires partial overlapping content between adjacent images, after the image data is read in from the computer, the computer will call the present invention Mentioned methods to accomplish specific splicing work.

[0061] In the specific implementation, the following steps are completed in the computer:

[0062] Step 1: Read in each image in the image sequence according to the order in which the images are arranged.

[0063] Step 2: Determine whether the user has input an image focal length value. Enter the focal length value to enter the next step, otherwise go to the fourth step.

[0064] Step 3: Perform cylindrical projection transformation on each image according to the focal length value, and project each image onto the cylindrical plane.

[0065] Step 4: Use the Harris corner detection method to extract the corner points of the object in the ima...

Images