Self-adaptive pre-segmentation method based on gray scale and gradient of image and gray scale statistic histogram

A technology of statistical histogram and grayscale histogram, applied in image analysis, image data processing, calculation, etc., can solve the problems of large impact on calculation speed, large calculation time overhead, etc., to achieve a wide range of applications, fast calculation speed, achieve simple effects

Inactive Publication Date: 2010-05-19
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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Problems solved by technology

However, high-resolution imaging equipment is generally used for the identification of transmission line components, and this algorithm generally uses a recursive method in the specific implementation, which involves a large calculation time overhead, so it has a great impact on the calculation speed

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  • Self-adaptive pre-segmentation method based on gray scale and gradient of image and gray scale statistic histogram
  • Self-adaptive pre-segmentation method based on gray scale and gradient of image and gray scale statistic histogram
  • Self-adaptive pre-segmentation method based on gray scale and gradient of image and gray scale statistic histogram

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Embodiment Construction

[0034] Below in conjunction with accompanying drawing, the technical scheme of invention is described in detail:

[0035] An adaptive image pre-segmentation algorithm based on the gray gradient information of the image and the gray statistical histogram information of the image itself in this embodiment. The hardware platform is a personal microcomputer, the operating system is Windows, the image development platform is Intel OpenCV, and the development tool is Microsoft Visual C++. The specific steps are:

[0036] First, the original collected color image with a resolution of 2560*1920 ( figure 1 ) is converted to a grayscale image through the cvCvtColor function, such as figure 2 shown.

[0037] Then for the grayscale image, it is scanned horizontally to obtain the grayscale gradient map of the image ( image 3 ), to establish the gray histogram of the gray gradient map ( Figure 4 ), the horizontal axis in the figure is the gray gradient k of the pixel, which is 0-255...

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Abstract

The invention discloses a self-adaptive pre-segmentation method based on a gray scale and a gradient of an image and a gray scale statistic histogram. A threshold value sequence for image segmentation is self-adaptively generated according to the gray scale and gradient information of an image and the self gray scale statistic histogram information of the image, the continuous gray scale image is converted into a discrete gray scale image to realize the pre-segmentation of the image so as to facilitate the following image segmentation. The invention has less constraint condition, wide application range, low algorithm complexity, simple realization and high calculating speed.

Description

technical field [0001] The invention relates to an adaptive pre-segmentation method based on image grayscale gradient and grayscale statistical histogram, which belongs to the image preprocessing applied to realize target recognition through machine vision, especially involves the use of image grayscale gradient information and the image itself The technical field of grayscale statistical histogram information adaptively generating threshold sequences for image segmentation, converting continuous grayscale images into discrete grayscale images, and realizing image pre-segmentation for subsequent image segmentation. Background technique [0002] Image segmentation is the foundation and key of image recognition and image understanding, and it is also a classic problem of machine vision. As far as image segmentation is concerned, so far, no less than a thousand segmentation algorithms have been proposed, and many new algorithms appear every year. [0003] The basic purpose of i...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00
Inventor 李桥樑黄宵宁杨忠吴怀群
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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