A novel ellipse detection method for real-time applications

In this paper, an improved object detection method based on SURF (Speed-Up Robust Feature) is presented. SURF is a widely used method in computer vision. But it’s still not efficient enough to apply in real-time applications, such as real time object tracking. To reduce the time cost, the traditional descriptor of SURF is altered. Triangle and diagonal descriptor is adopted to replace the Haar wavelet calculation. Then dual matching approach based on FLANN is employed. Thus matching errors can be cut down. Besides, the traditional SURF does not give the accurate region of the target. To restrict the area, clustering analysis is used which is promoted from K-WMeans. Experimental work demonstrates the proposed approach achieve better effect than traditional SURF in real scenarios.

Download Full-text

A Fast and Robust Ellipse-Detection Method Based on Sorted Merging

The Scientific World JOURNAL ◽

10.1155/2014/481312 ◽

2014 ◽

Vol 2014 ◽

pp. 1-15 ◽

Cited By ~ 7

Author(s):

Gangyi Wang ◽

Guanghui Ren ◽

Zhilu Wu ◽

Yaqin Zhao ◽

Lihui Jiang

Keyword(s):

Detection Method ◽

Semimajor Axis ◽

High Accuracy ◽

Ellipse Fitting ◽

Line Segments ◽

Ellipse Detection ◽

Fitting Method ◽

Merging Process ◽

Real Time Applications ◽

Merging Strategy

A fast and robust ellipse-detection method based on sorted merging is proposed in this paper. This method first represents the edge bitmap approximately with a set of line segments and then gradually merges the line segments into elliptical arcs and ellipses. To achieve high accuracy, a sorted merging strategy is proposed: the merging degrees of line segments/elliptical arcs are estimated, and line segments/elliptical arcs are merged in descending order of the merging degrees, which significantly improves the merging accuracy. During the merging process, multiple properties of ellipses are utilized to filter line segment/elliptical arc pairs, making the method very efficient. In addition, an ellipse-fitting method is proposed that restricts the maximum ratio of the semimajor axis and the semiminor axis, further improving the merging accuracy. Experimental results indicate that the proposed method is robust to outliers, noise, and partial occlusion and is fast enough for real-time applications.

Download Full-text

Development and Application of Quality Control System for Highway Subgrade Construction

智能城市应用 ◽

10.33142/sca.v2i5.814 ◽

2019 ◽

Vol 2 (5) ◽

Author(s):

Tong Wang

Keyword(s):

Quality Control ◽

Real Time ◽

Detection Method ◽

System Development ◽

Effective Control ◽

Construction Process ◽

Development Mode ◽

The Road ◽

Whole Process

The compaction quality of the subgrade is directly related to the service life of the road. Effective control of the subgrade construction process is the key to ensuring the compaction quality of the subgrade. Therefore, real-time, comprehensive, rapid and accurate prediction of construction compaction quality through informatization detection method is an important guarantee for speeding up construction progress and ensuring subgrade compaction quality. Based on the function of the system, this paper puts forward the principle of system development and the development mode used in system development, and displays the development system in real-time to achieve the whole process control of subgrade construction quality.

Download Full-text