A Mismatch Detection Method Based on Affine Transformation for Stereo Light Microscopy Stereo Matching

Author:

Fan Shengli12,Yu Mei1,Jiang Gangyi1,Wang Yigang2,Jiang Hao3,Zhang Qingbo3

Affiliation:

1. Department of Information Science and Engineering, Ningbo University 818 Fenghua Road, Ningbo 315211, P. R. China

2. School of Information Science and Engineering, Ningbo Institute of Technology, Zhejiang University 1 Qianhu Road, Ningbo 315100, P. R. China

3. Intelligent Household Appliances Engineering Center, Zhejiang Business Technology Institute 1988 Airport Road, Ningbo 315012, P. R. China

Abstract

For the light microscopy images that have the characteristics of shallow depth of field, serious distortion and poor resolution, mismatch is a ubiquitous phenomenon. The paper presents a mismatch detection method for the stereo light microscopy stereo matching. Affine transformation matrix and matching constraint condition are calibrated by the calibration board which has the precision solid dots and the motorized stage. Bias vector of affine transformation of each matching pair is taken as the criteria to apply mismatch detection. The experimental results show that the method can detect more mismatching pairs and preserve more matching pairs than the traditional RANSAC method and the epipolar rectification method.

Funder

Ningbo Science and Technology Innovation Team, plan project.

Publisher

World Scientific Pub Co Pte Lt

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

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