Rectangular object tracking based on standard hough transform

Nguyen, Thuy Tuong; Pham, Xuan Dai; Jeon, Jae Wook

doi:10.1109/robio.2009.4913326

Cited by 5 publications

(2 citation statements)

References 14 publications

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“…Image transforms, such as the Hough and Radon transforms, are commonly used for feature extraction and image processing. A pertinent example, the Hough transform is used primarily as a method for detecting straight lines in binary images 24,25 , and has been applied to object tracking problems 26 , whilst the related Radon transform is widely used in tomographic reconstruction 27,28 . Less well-known than the Hough or Radon transforms, the medial axis transform has seen use in studies of cellular morphology 29,30 , with the transform encoding the approximate size and shape of image features.…”

Section: Introductionmentioning

confidence: 99%

Automated identification of flagella from videomicroscopy via the medial axis transform

Walker

Ishimoto

Wheeler

2019

Sci Rep

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Ubiquitous in eukaryotic organisms, the flagellum is a well-studied organelle that is well-known to be responsible for motility in a variety of organisms. Commonly necessitated in their study is the capability to image and subsequently track the movement of one or more flagella using videomicroscopy, requiring digital isolation and location of the flagellum within a sequence of frames. Such a process in general currently requires some researcher input, providing some manual estimate or reliance on an experiment-specific heuristic to correctly identify and track the motion of a flagellum. Here we present a fully-automated method of flagellum identification from videomicroscopy based on the fact that the flagella are of approximately constant width when viewed by microscopy. We demonstrate the effectiveness of the algorithm by application to captured videomicroscopy of Leishmania mexicana, a parasitic monoflagellate of the family Trypanosomatidae. ImageJ Macros for flagellar identification are provided, and high accuracy and remarkable throughput are achieved via this unsupervised method, obtaining results comparable in quality to previous studies of closely-related species but achieved without the need for precursory measurements or the development of a specialised heuristic, enabling in general the automated generation of digitised kinematic descriptions of flagellar beating from videomicroscopy.

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Section: Introductionmentioning

confidence: 99%

Automated identification of flagella from videomicroscopy via the medial axis transform

Walker

Ishimoto

Wheeler

2019

Sci Rep

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“…Similar grouping strategies have also been investigated outside the context of roads, such as in urban and indoor environments rich in straight lines, in conjunction with a more general analysis of repeated elements and patterns viewed under perspective [11][12][13] .…”

Section: Introductionmentioning

confidence: 99%

Unstructured road segmentation based on Otsu-entropy method

et al. 2011

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Unstructured road segmentation plays an important role in visual guiding navigation for intelligent vehicle. A novel vision-based road segmentation method that combined the Otsu double-threshold method with the maximum entropy double-threshold method was proposed to handle those problems caused by illumination variations and road surface dilapidation. Spatial correlation by analyzing the grey-level histogram of the original image and temporal correlation by matching of the selected referenced region was used to estimate the coarse range of the road region. Road segmentation experiments executed in different road scenes have demonstrate that the method proposed in this paper is robust against illumination variations and surface dilapidation.

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Research on Compartment Positioning Algorithm for the Intelligent Sampling Control System

Xie¹

2014

IJCA

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Rectangular object tracking based on standard hough transform

Cited by 5 publications

References 14 publications

Automated identification of flagella from videomicroscopy via the medial axis transform

Automated identification of flagella from videomicroscopy via the medial axis transform

Unstructured road segmentation based on Otsu-entropy method

Research on Compartment Positioning Algorithm for the Intelligent Sampling Control System

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