Method for estimating precise circumferences of target boundaries based on gray level information

A grayscale and boundary technology, applied in computing, image data processing, instruments, etc., can solve the problems of limiting the accuracy and applicability of the HPGL method, unsatisfactory calculation results, double calculation boundaries, etc.

Inactive Publication Date: 2015-06-10
JIANGNAN UNIV
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  • Application Information

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Problems solved by technology

[0005] However, the calculation results of the HPGL method are not ideal for images with low resolution or blurred boundaries. The main reason is that HPGL has the problem of repeatedly calculating the boundary for images with a target boundary thickness exceeding 1
However, after the gray level information of the boundary is preserved, the fuzziness of the target boundary is inevitable, and this contradiction directly limits the accuracy and applicability of the HPGL method.

Method used

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  • Method for estimating precise circumferences of target boundaries based on gray level information
  • Method for estimating precise circumferences of target boundaries based on gray level information
  • Method for estimating precise circumferences of target boundaries based on gray level information

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Embodiment 1

[0078] In the embodiment of the present invention, the circumference of the target image with discontinuous boundaries is estimated, and the synthesis process is as follows:

[0079] In the plane coordinate system, select the parameter equation as x=200cos 3 t,y=200sin 3 The boundary surrounded by the curve of t is mapped to the two-dimensional image matrix, the value of the target area (that is, the area surrounded by the boundary) is 255, and the value of the background area is 0. When classifying the boundary as the target area or the background area, the pixel width of the target boundary is specified as 0. Then, based on the border of 0 pixel width, the border is expanded inwards and outwards, and the pixel value on the border is randomly set to a value between 120 and 130 to obtain a blurred border parabolic target image with increasing pixel border thickness, such as figure 2 a. figure 2 c. figure 2 As shown in e; for the obtained target image, artificial noise i...

Embodiment 2

[0129] In the embodiment of the present invention, the perimeter estimation is performed on target images with continuous boundaries, and the synthesis process is as follows:

[0130] In the plane coordinate system, select a straight line curve (x-300) 2 +(y-300) 2 =200 2 , trigonometric functions and The enclosed boundary is mapped to a two-dimensional image matrix, the target area (that is, the area enclosed by the boundary) takes a value of 255, and the background area takes a value of 0. When classifying the border as the target area or the background area, specify that the pixel width of the target border is 0; then expand the border inward and outward based on the border with a width of 0 pixels, and randomly set the pixel value on the border to 120 to 130 Values ​​between , to obtain a blurred boundary parabolic target image with increasing pixel boundary thickness, such as image 3 a. image 3 b. image 3 c. image 3 d. image 3 shown in e.

[0131] Such ...

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Abstract

The invention discloses a method for estimating precise circumferences of target boundaries based on gray level information. The estimating method comprises the following steps of (1) introducing concepts covering digitization to process synthetic target images, thereby acquiring the images retaining gray level information and covering digitization; (2) to the acquired images covering digitization, defining the internal and external boundaries of the target object in the images, and acquiring the target object of the internal or external boundary with the pixel width by tracking the boundary; (3) calculating the boundary slope of the local configuration region on one pixel-width image boundary, and acquiring the circumference of the configuration region according to an arc length calculation formula; (4) accumulating the obtained circumferences of the boundaries in the local configuration region by browsing the boundaries, thereby respectively obtaining the circumferences of the internal and external boundaries in all target objects; (5) according to the obtained circumferences of the internal and external boundaries, finally obtaining the precise circumferences of the target objects by adopting a certain strategy. According to the method, the circumference calculation process cannot be affected by fuzzy image boundaries, boundary discontinuity, boundary noise and various complex factors, and the problem that the target circumference cannot be precisely estimated by other algorithms under discontinuous and fuzzy target boundaries can be better solved, thus the accuracy, effectiveness and robustness of the circumference calculation process is greatly improved and the method can be widely used for extracting actual image characteristics.

Description

technical field [0001] The invention relates to the technical fields of pattern recognition, image processing and feature extraction, in particular to a method for estimating the precise perimeter of a target boundary based on grayscale information. Background technique [0002] In the field of image analysis, the perimeter of a target object in a 2D image is an important morphological feature of the target, which is widely used in real life. On the surface, this is a simple task, but it is currently difficult to obtain the precise circumference of the target object from a digital image. On the one hand, the noise has produced different levels of interference to the calculation results of the perimeter; on the other hand, the fuzziness and complexity of the boundary of the target object have brought certain difficulties to the calculation and have a great impact on the final calculation results. Therefore, in recent years, many scholars have conducted research around this p...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00
Inventor 吴秦周琪梁久祯
Owner JIANGNAN UNIV
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