Fitting method based on distance priority strategy and application thereof

Abstract

The invention discloses a fitting method based on a distance priority strategy and application thereof. The fitting method comprises the following steps: S1, performing image shooting operation on a to-be-measured part through a camera; S2, selecting an area needing to be fitted, and setting a plurality of pixel points of the area as P1-Pn; S3, firstly selecting one pixel point Px, and performing linear fitting on all pixel point marks except the pixel point mark Px to generate a curve Lx; calculating the curve distance Yx between the pixel point Px and the curve Lx; S4, repeating the operation until all the pixel marks P are subjected to linear fitting to generate corresponding curves, setting a threshold value A, and comparing the distance Yx between the pixel point Px and the curve Lx with the threshold value A to remove invalid pixel points, so that the remaining effective pixel points are subjected to linear fitting again to obtain the closest real curve.

Description

technical field [0001] The invention belongs to the technical field of image fitting, and in particular relates to a fitting method based on a distance priority strategy and its application. Background technique [0002] With the increasing popularity of smart phones in recent years, there are more and more functions for smart phones. Camera technology is the main research direction of smart phones. Due to the size limitation of smartphones, the size of the image sensor components of the mobile phone is also limited. In order to make up for the defects of the image sensor components for cracking, special algorithms are often installed on the mobile phone chip to fit the captured image pixels. Present a clearer picture to the user. [0003] Most of the algorithm fitting methods only improve the color and blur effect of a single pixel. After the image is taken, the image is composed of small squares of many pixels. These small squares have a The specific position and the ass...

AI Technical Summary

Problems solved by technology

But when the noise is large, first use a specific equation to judge the data noise (noise point), but the limitation is relatively large

When performing linear fitting, the pixels generated by the pictures taken in various scenes are irregular spatial positions or irregular plane structures, which do not fully fit the specific equation, resulting in errors in judging noise and affecting the simulation. Fitting Accuracy of Fitting Curve

Images