Corner Detection of the Computer VR Microscope Image Based on the 3D Reconstruction Algorithm

Abstract

In order to solve the problem of multisolution and ill-formedness of the 3D reconstruction method of a single image (purpose), the author proposes a microscope image segmentation algorithm based on the Harris multiscale corner detection. Separating complex engineering images into several simple basic geometric shapes, rebuild them separately to avoid the ill-conditioned solution problem of directly recovering depth information. In order to improve the registration accuracy of the corner-based image registration algorithm, the idea of multiresolution analysis was introduced into the classic Harris corner detection, and a gray intensity variation formula based on the wavelet transform was constructed, and a scale transformation characteristic was obtained so that the improved Harris corner detection algorithm is invariant to rotation, translation, and scale. Experimental results show that after reconstruction, the error between the length of the object measured based on the point cloud data and the actual length of the object is small, and both remain within the error range of 3 mm. The experiment verifies the fast, accurate, and stable characteristics of the improved algorithm.

A Radar Linear Feature Fitting Algorithm Combining Adaptive Clustering and Corner Detection Operator

“…Huang suggested a brand-new coarse to fine corner extractor to accurately and effectively extract corner events. A data association approach with spatial, temporal, and velocity direction restrictions is used to track corner events, and the most recent active corner in the vicinity that satisfies the velocity direction criteria is connected with the newly arriving corner event [7]. For point cloud data processing, Chen et al used density-based clustering with the normal vector of a point cloud (rather than the point cloud itself) to extract the common part for further registration.…”

Retracted: Corner Detection of the Computer VR Microscope Image Based on the 3D Reconstruction Algorithm

“…This article has been retracted by Hindawi following an investigation undertaken by the publisher [ 1 ]. This investigation has uncovered evidence of one or more of the following indicators of systematic manipulation of the publication process: Discrepancies in scope Discrepancies in the description of the research reported Discrepancies between the availability of data and the research described Inappropriate citations Incoherent, meaningless and/or irrelevant content included in the article Peer-review manipulation …”

“…This article has been retracted by Hindawi following an investigation undertaken by the publisher [1]. This investigation has uncovered evidence of one or more of the following indicators of systematic manipulation of the publication process:…”