... GenusAmaryllidaceaeAmaryllisHippeastrumCliviaCrinumGalanthusHymenocallisLycorisNarcissusZephyranthesAnacardiaceaeSchinusApocynaceaeAcokantheraAdeniumAllamandaNeriumPentalinonThevetiaAquifoliaceaeIlexAraceaeArumAlocasiaAnthuriumArisaemaCaladiumCallaColocasiaDieffenbachiaEpipremnumRaphidophoraMonsteraPhilodendronSpathiphyllumSymplocarpusXanthosomaZantedeschiaAraliaceaeHederaAsclepiadaceaeCalotropisCryptostegiaBerberidaceaeCaulophyllumPodophyllumBoraginaceaeEchiumHeliotropiumCalycanthaceaeCalycanthusCampanulaceaeHippobromaLobeliaCaprifoliaceaeLoniceraSambucusSymphoricarposCelastraceaeCelastrusEuonymusCompositaeSenecioCoriariaceaeCoriariaCornaceaeAucubaCorynocarpaceaeCorynocarpusCucurbitaceaeMomordicaCycadaceaeCycasEricaceaeKalmiaLeucothoeLyoniaPernettyaPierisRhododendronEuphorbiaceaeAleuritesEuphorbiaHippomaneHuraJatrophaManihotPedilanthusRicinusGinkgoaceaeGinkgoGuttiferaeCalophyllumClusiaHippocastanaceaeAesculusIridaceaeIrisLeguminosaeAbrusBaptisiaCaesalpiniaCassiaCrotalariaGymnocladusLaburnumLeucaenaPachyrhizusRobiniaSesbaniaSophoraWisteriaLilliaceaeAlliumAloeBulbocodiumColchicumConvallariaGloriosaOrnithogalumSchoenocaulonScillaUrgineaVe ... meets the clinician’s needs. This text hasenhanced the previous edition’s botanical rigor with that of pharmacognosy and clinical medicine. This second edition is created to assist the clinician ... expeditious and higher-quality clinical care.Lewis R. Goldfrank, M.D.Professor and ChairDepartment of Emergency MedicineNew York University School of MedicineDirector, Emergency MedicineBellevue...
... sequences. The use of these featuresallowed the construction of a feature vector that succinctly captured the frequency-temporal characteristics of the image blocks, providing a 320:1 reduction ... processingofimage data in digital form by adigital computer, occurred in 1957 with the first picture scanner attached to the National Bureau of Standards Electronic Automatic Computer (SEAC), ... VIDEO PROCESSING: FROM RESEARCH TO REALITYcapture:reduction detection extraction1FIGURE1.3: Diversityofoperationsinimage/videoprocessing:(a)typical processing chain,(b)decreasein amount of...
... The NetherlandsCorrespondence should be addressed to Sascha Cvetkovic, sacha.cvetkovic@nl.bosch.comReceived 30 March 2010; Revised 15 November 2010; Accepted 30 November 2010Academic Editor: ... already chal-lenging on its own, especially with respect to correct and consistent object detection and its correct detection behaviorwhen scene and light changes occur. These changes happen by ... the image are then clipped and lost. In case when noobject of interest is present, the exposure of the camera isreduced to correctly display the background of the image. This processing is called...
... invasive medical procedures have become increas-ingly common in today’s healthcare pract ice. Consequently,technological research related to this class of medical proce-dures is becoming more ... Oh, and P. C. de Groen, “Mining colonoscopy videos to measure quality of colonoscopic procedures,” in Proceedings of the 5th IASTEDInternational Conference on Biomedical Eng ineering (BioMED’07), ... M.Arnold,A.Ghosh,G.Lacey,S.Patchett,andH.Mulcahy,“Indistinct frame detection in colonoscopy videos,” in Pro-ceedings of the 13th International Machine Vision and Image Processing Conference (IMVIP ’09),...
... properlycited.In computer science, contextual information can be used both to reduce computations and to increase accuracy. This paperdiscusses how it can be exploited fo r people surveillance in ... Gunes, and M. Piccardi, “Head detectionfor video surveillance based on categorical hair and skincolour models,” in Proceedings of the 16th IEEE InternationalConference on ImageProcessing (ICIP ... eptz cameras,” in Visual Communications and Image Processing, vol. 6508 of Proceedings of SPIE, 2007.[35] M. A. Ruzon and C. Tomasi, “Color edge detection withthe compass operator,” in Proceedings...