Ellipse detection and matching with uncertainty
نویسندگان
چکیده
منابع مشابه
Ellipse Detection and Matching with Uncertainty
This paper considers the fitting of ellipses to edge-based pixel data in digital images. It infers the ellipses as projected circles, viewed obliquely, and uses this information to constrain the position, viewpoint and scale of model objects projected onto the image. A central theme of the work is the explicit use of uncertainty, which reflects observation errors in the image data, and which is...
متن کاملFast and Robust GA-Based Ellipse Detection
This paper discusses a novel and effective technique for extracting multiple ellipses from an image, using a Genetic Algorithm with Multiple Populations (MPGA). MPGA evolves a number of subpopulations in parallel, each of which is clustered around an actual or perceived ellipse in the target image. The technique utilizes both evolution and clustering to direct the search for ellipses – full or ...
متن کاملMultistage Combined Ellipse and Line Detection
This paper describes an algorithm for the detection of ellipses and lines in image edge data. Connected edge pixels are transformed into polygonal approximations by a two stage algorithm. Then a second two stage algorithm replaces combinations of lines by ellipses if the ellipse fit is better. For each algorithm a combination of splitting and merging of the data is used to enable global and loc...
متن کاملA New Efficient Ellipse Detection Method
In this paper, we introduce a new method for ellipse detection. This method takes the advantages of major axis of an ellipse to find ellipse parameter fast and efficiently. It only needs an one-dimensional accumulator array to accumulate the length information for minor axis of the ellipse. This method does not require the evaluation of the tangents or curvatures of the edge contours, which are...
متن کاملA Statistically Efficient Method for Ellipse Detection
In this paper, we introduce a statistically efficient method f o r detecting ellipses in a n image. Given a set of digital arc segments, we introduce geometric criteria t o select possible pairs of arc segments belonging to the same ellipse. T h e selected arc pairs are subsequently validated or rejected based o n certain statistical criteria via hypothesis testing. The advantages of our techni...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Image and Vision Computing
سال: 1992
ISSN: 0262-8856
DOI: 10.1016/0262-8856(92)90041-z