Object detection method based on improved cascade R-CNN for antacid bacilli

Chen Wang; Congpeng Zhang; Xiao Tian

doi:10.1117/12.2647000

7 September 2022 Object detection method based on improved cascade R-CNN for antacid bacilli

Chen Wang, Congpeng Zhang, Xiao Tian

Proceedings Volume 12329, Third International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2022); 123291J (2022) https://doi.org/10.1117/12.2647000
Event: Third International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2022), 2022, Changsha, China

Abstract

The objects of antacid bacilli microscopic images are small in size and complex in background, traditional detection algorithms have low accuracy in identifying antacid bacilli, while deep learning-based object detection studies lack corresponding datasets and are difficult to detect small objects. To address this two problems, a dataset TB-data for antacid bacilli recognition is constructed by microscopic vision platform, and an adaptation improvement algorithm for antacid bacilli is proposed based on Cascade R-CNN: using a sliding window cutout strategy to cut the original map into multiple submaps and change the relative size of the object to the original map; using Multi-scale Feature Map Stack method to repeatedly fuse different resolution information for multi multi-scale information.The experiments show that the AP50 of the improved model can reach 86.5% and has a frame rate of 16.1fps, which is 7.8% higher than the AP50 of Faster R-CNN, with real-time, accurate and lightweight features, providing a new solution for the recognition of antacid bacilli microscopic images.

Citation Download Citation

Chen Wang, Congpeng Zhang, and Xiao Tian "Object detection method based on improved cascade R-CNN for antacid bacilli", Proc. SPIE 12329, Third International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2022), 123291J (7 September 2022); https://doi.org/10.1117/12.2647000

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KEYWORDS

Detection and tracking algorithms

Multiphoton fluorescence microscopy

Convolution

Image processing

Data modeling

Data analysis

Feature extraction

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