%0 Journal Article %1 Climer2003 %A Climer, Sharlee %A Bhatia, Sanjiv K. %D 2003 %K Line Linear Low complexity; detector; extraction feature level %N 14 %P 2291--2300 %R 10.1016/S0167-8655(03)00055-2 %T Local Lines: A linear time line detector %U http://www.sciencedirect.com/science/article/B6V15-48M7YK2-1/2/9660aa78714c7b772b421ab1ee72d379 %V 24 %X This paper introduces \scshapeLocal Lines ––a robust, high-resolution line detector that operates in linear time. \scshapeLocal Lines tolerates noisy images well and can be optimized for various specialized applications by adjusting the values of configurable parameters, such as mask values and mask size. As described in this paper, the resolution of Image Image Image Image is the maximum that can be justified for pixelized data. Despite this high resolution, \scshapeLocal Lines is of linear asymptotic complexity in terms of number of pixels in an image. This paper also provides a comparison of \scshapeLocal Lines with the prevalent Hough Transform Line Detector.

@article{Climer2003, abstract = {This paper introduces {\scshape{}Local Lines} ––a robust, high-resolution line detector that operates in linear time. {\scshape{}Local Lines} tolerates noisy images well and can be optimized for various specialized applications by adjusting the values of configurable parameters, such as mask values and mask size. As described in this paper, the resolution of Image Image Image Image is the maximum that can be justified for pixelized data. Despite this high resolution, {\scshape{}Local Lines} is of linear asymptotic complexity in terms of number of pixels in an image. This paper also provides a comparison of {\scshape{}Local Lines} with the prevalent Hough Transform Line Detector.}, added-at = {2011-03-27T19:35:34.000+0200}, author = {Climer, Sharlee and Bhatia, Sanjiv K.}, biburl = {https://www.bibsonomy.org/bibtex/25c733452a056fa237c9d40b1e53605e3/cocus}, doi = {10.1016/S0167-8655(03)00055-2}, file = {:./Climer.pdf:PDF}, interhash = {4e8066cca07c94c8a96a9691df7179e7}, intrahash = {5c733452a056fa237c9d40b1e53605e3}, journaltitle = {#patrec#}, keywords = {Line Linear Low complexity; detector; extraction feature level}, number = 14, owner = {CK}, pages = {2291--2300}, timestamp = {2011-03-27T19:35:38.000+0200}, title = {Local Lines: A linear time line detector}, url = {http://www.sciencedirect.com/science/article/B6V15-48M7YK2-1/2/9660aa78714c7b772b421ab1ee72d379}, volume = 24, year = 2003 }