Circular Degree Hough Transform

Flores-Mendez, A.; Suarez-Cervantes, Angeles

doi:10.1007/978-3-642-10268-4_34

Cited by 12 publications

(3 citation statements)

References 11 publications

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“…There is also a simple-complex transition from the smaller, mostly very circular bowl-shaped craters, to larger complex craters with central peaks, and to the largest multi-ring impact basins (Melosh and Ivanov, 1999). In general, CDAs are based on a large number of methods, including circle/ ellipse detection (Cooper, 2003;Cooper and Cowan, 2004;Flores-Mé ndez and Suarez-Cervantes, 2009;Krøgli and Dypvik, 2010), probability volume created by template matching (Bandeira et al, 2007), machine-learning (Stepinski and Urbach, 2008), etc. An overview of 112 publications related to CDAs has been published in two recent papers (Salamunić car and Lončarić , 2008a;Salamunić car et al, 2011b).…”

Section: Introductionmentioning

confidence: 99%

LU60645GT and MA132843GT catalogues of Lunar and Martian impact craters developed using a Crater Shape-based interpolation crater detection algorithm for topography data

Salamunićcar

Lončarić

Mazarico

2012

Planetary and Space Science

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For Mars, 57,633 craters from the manually assembled catalogues and 72,668 additional craters identified using several crater detection algorithms (CDAs) have been merged into the MA130301GT catalogue. By contrast, for the Moon the most complete previous catalogue contains only 14,923 craters. Two recent missions provided higher-quality digital elevation maps (DEMs): SELENE (in 1/161 resolution) and Lunar Reconnaissance Orbiter (we used up to 1/5121). This was the main motivation for work on the new Crater Shape-based interpolation module, which improves previous CDA as follows: (1) it decreases the number of false-detections for the required number of true detections; (2) it improves detection capabilities for very small craters; and (3) it provides more accurate automated measurements of craters' properties. The results are: (1) LU60645GT, which is currently the most complete (up to $ DZ8 km) catalogue of Lunar craters; and (2) MA132843GT catalogue of Martian craters complete up to $ DZ2 km, which is the extension of the previous MA130301GT catalogue. As previously achieved for Mars, LU60645GT provides all properties that were provided by the previous Lunar catalogues, plus: (1) correlation between morphological descriptors from used catalogues; (2) correlation between manually assigned attributes and automated measurements;(3) average errors and their standard deviations for manually and automatically assigned attributes such as position coordinates, diameter, depth/diameter ratio, etc; and (4) a review of positional accuracy of used datasets. Additionally, surface dating could potentially be improved with the exhaustiveness of this new catalogue. The accompanying results are: (1) the possibility of comparing a large number of Lunar and Martian craters, of e.g. depth/diameter ratio and 2D profiles; (2) utilisation of a method for re-projection of datasets and catalogues, which is very useful for craters that are very close to poles; and (3) the extension of the previous framework for evaluation of CDAs with datasets and ground-truth catalogue for the Moon.

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Section: Introductionmentioning

confidence: 99%

LU60645GT and MA132843GT catalogues of Lunar and Martian impact craters developed using a Crater Shape-based interpolation crater detection algorithm for topography data

Salamunićcar

Lončarić

Mazarico

2012

Planetary and Space Science

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“…The firs requirements, the shape criterion, is verified by applying the specific measure of object elongation -1 st Hu's Moment Invariant (Hu, 1962). With an appropriate selection of the threshold value, it allows the elimination of linear structures (Flores-Méndez, A., Suarez-Cervantes, 2009). All objects with the 1 st Hu's Moment Invariant less than specified threshold are eliminated from further analysis, an example is presented in Figure 3.…”

Section: Candidates Filteringmentioning

confidence: 99%

Asteroid (21) Lutetia: Semi-Automatic Impact Craters Detection and Classification

Jenerowicz¹,

Banaszkiewicz²

2018

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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The need to develop an automated method, independent of lighting and surface conditions, for the identification and measurement of impact craters, as well as the creation of a reliable and efficient tool, has become a justification of our studies. This paper presents a methodology for the detection of impact craters based on their spectral and spatial features. The analysis aims at evaluation of the algorithm capabilities to determinate the spatial parameters of impact craters presented in a time series. In this way, time-consuming visual interpretation of images would be reduced to the special cases. The developed algorithm is tested on a set of OSIRIS high resolution images of asteroid Lutetia surface which is characterized by varied landforms and the abundance of craters created by collisions with smaller bodies of the solar system.The proposed methodology consists of three main steps: characterisation of objects of interest on limited set of data, semi-automatic extraction of impact craters performed for total set of data by applying the Mathematical Morphology image processing (Serra, 1988, Soille, 2003), and finally, creating libraries of spatial and spectral parameters for extracted impact craters, i.e. the coordinates of the crater center, semi-major and semi-minor axis, shadow length and cross-section. The overall accuracy of the proposed method is 98&thinsp;%, the Kappa coefficient is 0.84, the correlation coefficient is &sim;&thinsp;0.80, the omission error 24.11&thinsp;%, the commission error 3.45&thinsp;%. The obtained results show that methods based on Mathematical Morphology operators are effective also with a limited number of data and low-contrast images.

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“…Following that, to fill the missing part of the fragmented contour, we adopted the Circular Hough transform (CHT) [14] to gain the initial contour points P i and used these points to search for the optimal contour for final contour reconstruction. The basis of the CHT is to map a circle with a certain range of radii (R) on each edge point and count the intersection of those circles.…”

Section: ) Segmentation Refinementmentioning

confidence: 99%

Image segmentation techniques for stem cell tracking

Jiang

Tsai

2013

2013 IEEE International Conference on Acoustics, Speech and Signal Processing

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To grow stem cells in vitro is an important task in regenerative medicine. Cell motility that can be derived by cell tracking is a useful index to evaluate the viability and stemness of stem cells. The precision of cell tracking is highly dependent on correct detection of the cell centroids, which are usually determined by cell segmentation process. In this study, a cell segmentation method combining doublethresholding and disk-based reconstruction is proposed to solve the problems arising from shape deformation and uneven illumination during cell culture. The qualitative and quantitative comparisons show that the proposed segmentation method increases accuracy in detection the cell centroid.

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Circular Degree Hough Transform

Cited by 12 publications

References 11 publications

LU60645GT and MA132843GT catalogues of Lunar and Martian impact craters developed using a Crater Shape-based interpolation crater detection algorithm for topography data

LU60645GT and MA132843GT catalogues of Lunar and Martian impact craters developed using a Crater Shape-based interpolation crater detection algorithm for topography data

Asteroid (21) Lutetia: Semi-Automatic Impact Craters Detection and Classification

Image segmentation techniques for stem cell tracking

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