A New Method for Detecting Compensation Hole Parameters of Automobile Brake Master Cylinder Based on Machine Vision

Abstract

The machining accuracy of the compensation hole of the automobile brake master cylinder directly determines the safety of the automobile and the reliability of parking. How to detect the parameters of the compensation hole with high precision becomes a crucial issue. In this paper, by analyzing the principle of Hough transform detection technology and several optimization algorithms, a new method combining Zernike moment and improved gradient Hough transform is proposed to detect the circular hole parameters. The simulation experiment shows that the proposed algorithm satisfies 0.1 pixels in the coordinate detection of the center position, and the radius detection accuracy is 0.05 pixels, with fast detection speed and good robustness. Compared with the random Hough transform algorithm and the gradient Hough transform algorithm, the algorithm proposed in this paper has higher detection accuracy, faster detection speed, and better robustness, which meets the online detection accuracy requirements of the brake master cylinder compensation hole.

Automatic Recognition and Detection System Based on Machine Vision

“…A PCNN is a feedback network composed of several interconnected neurons. In medical image fusion, the simplified PCNN model [16] adopted in this paper is shown in Figure 2. When processing two-dimensional images, the external input of the traditional PCNN algorithm is usually the gray value of each pixel.…”

Design and Application of Art Education Communication Platform Based on Machine Vision

“…Machine vision model has obvious application in different fields. In order to study its design and application in art education communication platform, we calibrate and change the coordinates of machine vision model [22]. us, the corresponding optimized machine vision model is introduced and imported into the art education design platform, so as to obtain the corresponding art communication platform design process based on the machine vision model as shown in Figure 11.…”

A Visual Measurement Method for Deep Holes in Composite Material Aerospace Components

“…Nevertheless, recent progress has prompted enhancements of the Hough Circle Transform and other advanced algorithms aimed at bolstering robustness and improving real-time performance in high-precision hole measurement applications. Yao et al and Zhao et al improved the Hough Circle Transform algorithm by leveraging the curvature and gradient distribution patterns of local edges, enhancing computational efficiency, and reducing memory usage [ 19 , 20 ]. Zhao et al also addressed the requirement for hole detection on metallic components by employing a sub-pixel edge-extraction method based on Zernike moments, thus achieving more precise information on the hole edges [ 20 ].…”

“…Yao et al and Zhao et al improved the Hough Circle Transform algorithm by leveraging the curvature and gradient distribution patterns of local edges, enhancing computational efficiency, and reducing memory usage [ 19 , 20 ]. Zhao et al also addressed the requirement for hole detection on metallic components by employing a sub-pixel edge-extraction method based on Zernike moments, thus achieving more precise information on the hole edges [ 20 ]. However, the Hough Transform and its improved algorithms still struggle with high computational loads and reduced precision when dealing with noise.…”