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Shadows have a significant effect on the performance of many computer vision tasks, such as object tracking, action recognition, and structure health monitoring. In many object detection systems, shadows are often misclassified as parts of the moving objects or independent moving objects. As a result, the performance of these subsequent higher-level tasks is adversely affected. This paper presents...
In this paper a robust and adaptive method of circular object detection is proposed. The proposed method aims to limit the need for parameter adjustment when applied to a wide range of different images, by implementing a hybrid algorithm using the circular Hough transform for region segmentation, and a refined localised version of the Randomized Circle Detection algorithm to perform circular object...
This paper presents a new method for automatically gridding rotated microarray images. In previous methods rotation of an image is either ignored or a high amount of user intervention is required to correct the problem. Automation of this process is essential. The proposed method uses the Hough Transform to find the current orientation of the image. Once the orientation is found the microarray can...
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