研究目的
To address the issue of representation of multiple objects with partial views, particularly in applications where quantitative analysis of individual objects by their size and shape is desired.
研究成果
The proposed method for segmentation of multiple partially overlapping approximately elliptical shape objects in silhouette images using radial symmetry was shown to achieve high detection and segmentation accuracies and outperformed the competing methods in all datasets. Future work could include the generalization of the method with more complex convex objects.
研究不足
The method assumes that the objects to be segmented are clearly distinguishable from the background of the image and their contours form approximately elliptical shapes. The computational time could be significantly improved.
1：Experimental Design and Method Selection:
The method utilizes silhouette images and starts with seedpoint extraction using bounded erosion and fast radial symmetry transform. Extracted seedpoints are then utilized to associate edge points to objects to create contour evidence. Finally, contours of the objects are estimated by fitting ellipses to the contour evidence.
2：Sample Selection and Data Sources:
Experiments were carried out using one synthetically generated dataset and two datasets from real-world applications.
3：List of Experimental Equipment and Materials:
MATLAB was used for implementation, on a PC with a 3.20 GHz CPU and 8 GB of RAM.
4：20 GHz CPU and 8 GB of RAM.
Experimental Procedures and Operational Workflow:
4. Experimental Procedures and Operational Workflow: The method consists of three consecutive main steps: seedpoint extraction, contour evidence extraction, and contour estimation.
5：Data Analysis Methods:
Performance measures such as True Positive Rate (TPR) and Positive Predictive Value (PPV) were used to evaluate the method performance.
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