Sketch recognition using particle swarm algorithms

Meseery, Maha El; Din, Mahmoud Fakhr El; Mashali, Samia A.; Fayek, Magda B.; Darwish, Nevin M.

doi:10.1109/icip.2009.5414040

Cited by 5 publications

(5 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Following Kennedy & Eberhart 22 and El Meseery et al, 23 Marghany, 14 the error threshold is performed, the optimal solution is obtained post accomplishing a unique quantity of iterations or an accurate.…”

Section: Algorithmmentioning

confidence: 99%

“…Thus the common swarm algorithm can be changed into a binary particle (Discrete Particle Swarm Algorithm DPSO) which handles particle values of either two or by means of above-given equations. On the word of El Meseery et al, 23 the PSO can segment the geological features in SAR data. In this understanding, the input TanDEM-X data T with N points can be represented by set…”

Section: Algorithmmentioning

confidence: 99%

“…Consequently, the system denotes each particle ) which means that means this point ( k ) is not a dominate point. 23 The fitness is computed using the given equation:…”

Section: Algorithmmentioning

confidence: 99%

“…Where N is the number of pixels in the TanDEM-X satellite data, D is the number of the solutions that were previously labelled as a possible dominant point ( pd P ), E is the calculated error and ε is the error threshold. On the word of El Meseery et al, 23 and Marghany 14 it should be perceived that when the inaccuracy is greater than the threshold ε , the fitness offers a negative value to lower the fitness value of the solution. On the contrary, the system favours the lower number of vertices.…”

Section: Algorithmmentioning

confidence: 99%

See 3 more Smart Citations

Tandem-X satellite data application to four-dimensional of copper mineralization

Marghany¹

2019

IRATJ

View full text Add to dashboard Cite

Geological mining detections and identifications in synthetic aperture radar (SAR) images are required standard procedures and accurate algorithms. In fact, the main disadvantage of SAR images is speckle noises. The speckles do not allow any accurate retrieving information from SAR data. The main objective of this work is to design an intelligent system based on Particle Swarm Optimization to detect automatically the four-dimensional of copper mineralization using TanDEM-X satellite data. In this regard, optimization algorithm of Particle Swarm is used with the 4-D phase unwrapping of TanDEM-X satellite data. The study shows that the Particle Swarm Optimization algorithm is used to optimize the 4-D reconstruction of copper mineralization within 7 hours and post 2000 iterations with RMSE of 0.23. The results show that the 4-D of copper mineralization improved morphological feature detection such as the depth of a copper mine and surrounding infrastructures. In conclusion, the integration of PSO with the 4-D phase unwrapping of TanDEM-X satellite data are an excellent promise approach for 4-D reconstruction of copper mineralization.

show abstract

Section: Algorithmmentioning

confidence: 99%

Section: Algorithmmentioning

confidence: 99%

“…Consequently, the system denotes each particle ) which means that means this point ( k ) is not a dominate point. 23 The fitness is computed using the given equation:…”

Section: Algorithmmentioning

confidence: 99%

Section: Algorithmmentioning

confidence: 99%

See 2 more Smart Citations

Tandem-X satellite data application to four-dimensional of copper mineralization

Marghany¹

2019

IRATJ

View full text Add to dashboard Cite

show abstract

“…Classification algorithms for these topics include template matching (Connell and Jain, 2000;Nakayama, 1993), decision trees (Belaid and Haton, 1984;Kerrick and Bovik, 1988), neural networks (Dimitriadis and Coronado, 1995;Marzinkewitsch, 1991), hidden Markov models (Koschinski et al, 1995;Kosmala and Rigoll, 1998), parsing grammars (Costagliola et al, 2004;Mas et al, 2010), support vector machines (Bahlmann et al, 2001;El Meseery et al, 2009), or principal component analysis (Deepu et al, 2004;Zhang et al, 2010). Typically, gesture recognition takes place after a "pointer up" event, although it is possible to perform it continuously, in an incremental fashion (Bau and Mackay, 2008;Kristensson and Denby, 2011).…”

Section: Recognizing Gesturesmentioning

confidence: 99%

Context-Aware Gestures for Mixed-Initiative Text Editing UIs

et al. 2014

View full text Add to dashboard Cite

Oxford University PressLeiva, LA.; Alabau, V.; Romero Gómez, V.; Toselli, AH.; Vidal, E. (2015). Contex-aware gestures for mixed-initiative text editings UIs. Interacting with Computers. 27(6):675-696. doi:10.1093/iwc/iwu019. +34 963878172 Email: {luileito,valabau,vromero,ahector,evidal}@prhlt.upv.es This work is focused on enhancing highly interactive text-editing applications with gestures. Concretely, we study CATTI, a handwriting transcription system that follows a corrective feedback paradigm, where both the user and the system collaborate efficiently to produce a high-quality text transcription. CATTI-like applications demand fast and accurate gesture recognition, for which we observed that current gesture recognizers are not adequate enough. In response to this need we developed MinGestures, a parametric context-aware gesture recognizer. Our contributions include a number of stroke features for disambiguating copy-mark gestures from handwritten text, plus the integration of these gestures in a CATTI application. It becomes finally possible to create highly interactive stroke-based textediting interfaces, without worrying to verify the user intent onscreen.We performed a formal evaluation with 22 e-pen users and 32 mouse users using a gesture vocabulary of 10 symbols. MinGestures achieved an outstanding accuracy (less than 1% error rate) with very high performance (less than 1 ms of recognition times). We then integrated MinGestures in a CATTI prototype and tested the performance of the interactive handwriting system when it is driven by gestures. Our results show that using gestures in interactive handwriting applications is both advantageous and convenient when gestures are simple but context-aware. Taken together, this work suggests that text-editing interfaces not only can be easily augmented with simple gestures, but also may substantially improve user productivity.

show abstract