An Adaptive Edge Detection Calculation Method Based on the Combination of Mask and Canny
A technology of edge detection and calculation method, which is applied in calculation, image data processing, instruments, etc., can solve problems such as unsatisfactory effects, and achieve the effects of reducing influence, reducing influence, and reducing system errors
Active Publication Date: 2017-12-26
扬州振光机械有限公司
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[0007] Among the processing methods of the above-mentioned prior art, the edge information can be segmented to a certain extent, but for complex images that are seriously affected by noise, the effect is often not ideal
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[0035] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.
[0036] Such as figure 1 The flow chart of the system results shown in the present invention is based on the adaptive edge detection calculation method combining mask and canny, which includes: the judgment of the original discrimination degree, the selection scheme of the mask matrix and the realization of the adaptive discrimination algorithm. When inputting image information, the contrast ratio is preliminarily judged first, and based on the selected basic version, this is used as the modified basic version. Secondly, in the specific process of distinguishing, the two algorithms calculate the optimal solution at the same time. Then, the final edge information is determined according to the adaptive discrimination algorithm on the basic version of the model.
[0037] The system shown should distinguish the original degree of distinction of the image ...
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The present invention relates to a self-adapting edge detection calculating method based on combination of mask film and canny algorithms. The method comprises judgment of an original distinction degree, a selection scheme of a mask matrix, and realization of a self-adapting differentiation algorithm. When image information is input, a contrast ratio is pre-estimated and is used as a modified basic version on the selected base versions; then, in a concrete differentiation process, the two algorithms are used simultaneously to work out optimal solutions; and the ultimate edge information is determined according to the self-adapting differentiation algorithm on a model of the basic version. The method provided by the present invention is based on pixel information of images, and system errors caused by theoretical models are reduced; variability of the mask theory meets characteristic requirements needed by each image in the image differentiation process; and influences, on image differentiation effects, existing in single algorithm are reduced, and influences of theories are reduced to the minimum.
Description
technical field [0001] The invention relates to a computer visualization processing method, in particular to a drawing method for determining and judging edge information of medical plane images. Background technique [0002] Image segmentation is a crucial processing method for image recognition and computer vision. In the segmentation, some are based on the brightness and color of the pixels in the image, so that the computer can automatically process the segmentation and encounter various difficulties. Segmentation errors often occur, for example, due to uneven illumination, the influence of noise, unsharp realities in the image, and shadows. Therefore, image discrimination is a technology that needs further research. [0003] In the prior art, methods for distinguishing images are generally divided into two categories: (1) image segmentation algorithms. (2) Image edge detection algorithm. In image segmentation algorithms, it is generally divided into histogram-based,...
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IPC IPC(8): G06T7/13
CPCG06T2207/20004
Inventor 张建国左俊彦钟涛
Owner 扬州振光机械有限公司