%0 Conference Paper %1 7367119 %A Hadian-Jazi, M. %A Bab-Hadiashar, A. %A Hoseinnezhad, R. %A Suter, D. %B 2015 International Conference on Image Processing Theory, Tools and Applications (IPTA) %D 2015 %K Hough Size;Hough Transform;Line cell density detection detection;HT;Hough detection;line discretization;Hough discretization;image distribution;Shape;Transforms;Cell domain extraction function;Probability noise;line optimal problem;line resolution;Image resolution;image segmentation;Image segmentation;Probability segmentation;object size;image transform transforms;image %P 163-168 %R 10.1109/IPTA.2015.7367119 %T Theoretical analysis of hough transform optimal cell size: Segmentation of nearby lines

@inproceedings{7367119, added-at = {2022-03-14T06:20:47.000+0100}, author = {Hadian-Jazi, M. and Bab-Hadiashar, A. and Hoseinnezhad, R. and Suter, D.}, biburl = {https://www.bibsonomy.org/bibtex/220d913fc3c8622167bc1dbc307b972da/dsuter}, booktitle = {2015 International Conference on Image Processing Theory, Tools and Applications (IPTA)}, doi = {10.1109/IPTA.2015.7367119}, interhash = {a977b973b9d734fe0ac811b5a908ce4c}, intrahash = {20d913fc3c8622167bc1dbc307b972da}, keywords = {Hough Size;Hough Transform;Line cell density detection detection;HT;Hough detection;line discretization;Hough discretization;image distribution;Shape;Transforms;Cell domain extraction function;Probability noise;line optimal problem;line resolution;Image resolution;image segmentation;Image segmentation;Probability segmentation;object size;image transform transforms;image}, month = Nov, pages = {163-168}, timestamp = {2022-03-14T06:20:47.000+0100}, title = {Theoretical analysis of hough transform optimal cell size: Segmentation of nearby lines}, year = 2015 }