Academic literature on the topic 'Image Merging'

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Journal articles on the topic "Image Merging"

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Ushakov, K. D., and O. N. Kaneva. "COMPARATIVE ANALYSIS OF IMAGE MERGING ALGORITHMS." Applied Mathematics and Fundamental Informatics 9, no. 3 (2022): 53–59. http://dx.doi.org/10.25206/2311-4908-2022-9-3-53-59.

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The paper discusses algorithms for merging images by machine learning. Both statistical algorithms and machine learning algorithms are used in image merging. Fusion algorithms based on machine learning give a clearer and sharper image while preserving details. Pairs of images with different blurred areas were used to train the algorithm. The comparison of the developed algorithms by quality metrics is carried out.
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GU, JIANPING, LI ZHANG, and CUN CHENG. "DYNAMIC GRAPH MERGING FOR IMAGE SEGMENTATION." International Journal of Wavelets, Multiresolution and Information Processing 11, no. 06 (2013): 1350051. http://dx.doi.org/10.1142/s0219691313500513.

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A new algorithm named dynamic graph merging (DGM) for automatic image segmentation is explored. Firstly a novel variational model for multi-section cut is introduced by decomposing the traditional cut into two parts, the harmonic cut and the elastic energy of the boundary. The new energy is called the continuous combined cut. Secondly a new algorithm that removes those edges with higher energy and synchronously merges their starting and ending vertices in an ordered manner is proposed. The continual merging process would iteratively contract the graph, merge those homogeneous vertices into big
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S, Sadagopan. "Image Segmentation and Hiding Using Statistical Region Merging." Journal of Advanced Research in Dynamical and Control Systems 11, no. 0009-SPECIAL ISSUE (2019): 1010–15. http://dx.doi.org/10.5373/jardcs/v11/20192665.

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Wang, Haoyu, Zhanfeng Shen, Zihan Zhang, et al. "Improvement of Region-Merging Image Segmentation Accuracy Using Multiple Merging Criteria." Remote Sensing 13, no. 14 (2021): 2782. http://dx.doi.org/10.3390/rs13142782.

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Image segmentation plays a significant role in remote sensing image processing. Among numerous segmentation algorithms, the region-merging segmentation algorithm is widely used due to its well-organized structure and outstanding results. Many merging criteria (MC) were designed to improve the accuracy of region-merging segmentation, but each MC has its own shortcomings, which can cause segmentation errors. Segmentation accuracy can be improved by referring to the segmentation results. To achieve this, an approach for detecting and correcting region-merging image segmentation errors is proposed
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Andersone, Ilze. "Map Merging in the Context of Image Processing." Scientific Journal of Riga Technical University. Computer Sciences 44, no. 1 (2011): 124–30. http://dx.doi.org/10.2478/v10143-011-0030-5.

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Map Merging in the Context of Image ProcessingThe area of map merging is tightly connected to the area of image processing. Usually metric maps created by robots are represented as occupancy grids. It is easy to apply algorithms used in image processing to this kind of map representation. The image processing subfield that is closest to the map merging is the image registration. It can be assumed that metric map merging methods similarly to the image registration methods consist of three components: feature space, search strategy and similarity metric. Algorithms from image processing can also
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Fagel, Sascha. "Merging methods of speech visualization." ZAS Papers in Linguistics 40 (January 1, 2005): 19–32. http://dx.doi.org/10.21248/zaspil.40.2005.255.

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The author presents MASSY, the MODULAR AUDIOVISUAL SPEECH SYNTHESIZER. The system combines two approaches of visual speech synthesis. Two control models are implemented: a (data based) di-viseme model and a (rule based) dominance model where both produce control commands in a parameterized articulation space. Analogously two visualization methods are implemented: an image based (video-realistic) face model and a 3D synthetic head. Both face models can be driven by both the data based and the rule based articulation model.
 
 The high-level visual speech synthesis generates a sequence
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Lor, Kuo-Lung, and Chung-Ming Chen. "FAST INTERACTIVE REGIONAL PATTERN MERGING FOR GENERIC TISSUE SEGMENTATION IN HISTOPATHOLOGY IMAGES." Biomedical Engineering: Applications, Basis and Communications 33, no. 02 (2021): 2150012. http://dx.doi.org/10.4015/s1016237221500125.

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The image segmentation of histopathological tissue images has always been a challenge due to the overlapping of tissue color distributions, the complexity of extracellular texture and the large image size. In this paper, we introduce a new region-merging algorithm, namely, the Regional Pattern Merging (RPM) for interactive color image segmentation and annotation, by efficiently retrieving and applying the user’s prior knowledge of stroke-based interaction. Low-level color/texture features of each region are used to compose a regional pattern adapted to differentiating a foreground object from
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Lukmana Sardi, Indra, Fazmah Arif Yulianto, and Febryanti Sthevanie. "Analysis and Implementation of a Fast Corner Detector on Image Stitching in the Formation of Aerial Photogrammetry Images." International Journal on Information and Communication Technology (IJoICT) 10, no. 2 (2025): 259–69. https://doi.org/10.21108/ijoict.v10i2.1031.

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Aerial Photogrammetry is one of the products from the fields of geography in taking the object, area, or phenomenon on the surface of the earth. Using kamera with a photographic recording process and by the help of a detector in the form of film. In the application, required proper technique in merging images of aerial photographs in order to gain a broader perspective. In this final project, stitching method used in order to merging the images. Image stitching is a method for combining multiple images with overlapping fields of view to produce a panoramic image or picture, the image has a wid
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Panić, Branislav, Marko Nagode, Jernej Klemenc, and Simon Oman. "On Methods for Merging Mixture Model Components Suitable for Unsupervised Image Segmentation Tasks." Mathematics 10, no. 22 (2022): 4301. http://dx.doi.org/10.3390/math10224301.

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Unsupervised image segmentation is one of the most important and fundamental tasks in many computer vision systems. Mixture model is a compelling framework for unsupervised image segmentation. A segmented image is obtained by clustering the pixel color values of the image with an estimated mixture model. Problems arise when the selected optimal mixture model contains a large number of mixture components. Then, multiple components of the estimated mixture model are better suited to describe individual segments of the image. We investigate methods for merging the components of the mixture model
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Gonet, Michal, Boris Epel, Howard J. Halpern, and Martyna Elas. "Merging Preclinical EPR Tomography with other Imaging Techniques." Cell Biochemistry and Biophysics 77, no. 3 (2019): 187–96. http://dx.doi.org/10.1007/s12013-019-00880-7.

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Abstract This paper presents a survey of electron paramagnetic resonance (EPR) image registration. Image registration is the process of overlaying images (two or more) of the same scene taken at different times, from different viewpoints and/or different techniques. EPR-imaging (EPRI) techniques belong to the functional-imaging modalities and therefore suffer from a lack of anatomical reference which is mandatory in preclinical imaging. For this reason, it is necessary to merging EPR images with other modalities which allow for obtaining anatomy images. Methodological analysis and review of th
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Dissertations / Theses on the topic "Image Merging"

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Ipson, Heather. "T-spline Merging." Diss., CLICK HERE for online access, 2005. http://contentdm.lib.byu.edu/ETD/image/etd804.pdf.

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Munechika, Curtis K. "Merging panchromatic and multispectral images for enhanced image analysis /." Online version of thesis, 1990. http://hdl.handle.net/1850/11366.

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Tang, Weiran. "Frequency merging for demosaicking /." View abstract or full-text, 2009. http://library.ust.hk/cgi/db/thesis.pl?ECED%202009%20TANGW.

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Tan, Zhigang, and 譚志剛. "A region merging methodology for color and texture image segmentation." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2009. http://hub.hku.hk/bib/B43224143.

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Tan, Zhigang. "A region merging methodology for color and texture image segmentation." Click to view the E-thesis via HKUTO, 2009. http://sunzi.lib.hku.hk/hkuto/record/B43224143.

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Cui, Ying. "Image merging in a dynamic visual communication system with multiple cameras." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape17/PQDD_0030/NQ27126.pdf.

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USUI, Shin'ichi, Masayuki TANIMOTO, Toshiaki FUJII, Tadahiko KIMOTO, and Hiroshi OHYAMA. "Fractal Image Coding Based on Classified Range Regions." Institute of Electronics, Information and Communication Engineers, 1998. http://hdl.handle.net/2237/14996.

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Zhao, Guang. "Automatic boundary extraction in medical images based on constrained edge merging." Hong Kong : University of Hong Kong, 2000. http://sunzi.lib.hku.hk/hkuto/record.jsp?B22030207.

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Zhao, Guang, and 趙光. "Automatic boundary extraction in medical images based on constrained edge merging." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2000. http://hub.hku.hk/bib/B31223904.

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Ocampo, Blandon Cristian Felipe. "Patch-Based image fusion for computational photography." Electronic Thesis or Diss., Paris, ENST, 2018. http://www.theses.fr/2018ENST0020.

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Dans de nombreuses situations, la dynamique des capteurs ou la profondeur de champ des appareils photographiques conventionnels sont insuffisantes pour capturer fidèlement des scènes naturelles. Une méthode classique pour contourner ces limitations est de fusionner des images acquises avec des paramètres de prise de vue variables. Ces méthodes nécessitent que les images soient parfaitement alignées et que les scènes soient statiques, faute de quoi des artefacts (fantômes) ou des structures irrégulières apparaissent lors de la fusion. Le but de cette thèse est de développer des techniques perme
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Books on the topic "Image Merging"

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Thomas, Wedell, ed. Type, image, message: Merging pictures and ideas : a graphic design layout workshop. Rockport Publishers, 2006.

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Kuperberg, Marcia Clare. The integrated image: An investigation into the merging of video and computer graphics techniques incorporating the production of a video as a practical element in the investigation. Middlesex University, 1994.

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Morris, Burnis R. Carter G. Woodson. University Press of Mississippi, 2017. http://dx.doi.org/10.14325/mississippi/9781496814074.001.0001.

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Historian Carter G. Woodson’s employment of the black press and modern public-relations techniques to preserve and popularize black history during the first half of the 20th century is rediscovered and examined in this study. This rarely explored side of Woodson, often called “The Father of Black History,” resurrects the lost image of a leading cultural icon who used his celebrity in multiple roles as an opinion journalist, newsmaker, and CEO/publicist of black history to bring veneration to a subject whose past was clouded by misinformation and contempt. During his era, 1915-1950, Woodson cul
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Amar, Tarik Cyril. James Bond's Socialist Rivals. Oxford University PressNew York, 2024. http://dx.doi.org/10.1093/oso/9780190916282.001.0001.

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Abstract Focusing on three blockbuster television series from the Soviet Union, Poland, and East Germany, James Bond’s Socialist Rivals recovers an essential aspect of the history of popular culture in Europe’s Cold War East. As in the West, fictitious spy characters achieved mass appeal through film. In their countries, and often beyond them as well, the protagonists of Seventeen Moments of Spring, Stakes Greater than Life, and The Invisible Visor were as prominent as super-agent icon James Bond on the other side of the Iron Curtain. The actors playing them were stars, and their roles as spy
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Banks, Kathryn. ‘Look Again’, ‘Listen, Listen’, ‘Keep Looking’. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198794776.003.0008.

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This chapter offers a way of understanding the effects of poetic images (metaphorical or literal). It employs and extends the notion of ‘emergent properties’, as well as relevance theory’s account of how communicative acts can ‘show’ as much as they mean. The images examined are from poems by Mary Oliver (‘Wings’, ‘Wild Geese’, and ‘Mindful’). The chapter suggests that such poetry is particularly in need of a new theoretical approach capable of engaging with its focus on embodied experience and ‘merging’ with nature. It shows how ‘emergent properties’—for example, a complex sense of what conti
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Tarr, Joe. Words and Music of Patti Smith. Greenwood Publishing Group, Inc., 2008. http://dx.doi.org/10.5040/9798216038504.

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Many consider Patti Smith the godmother of punk. That label, however, is inaccurate. Although she possessed the energy and irreverence that would later mark the punk generation, she was inspired by the beatniks and by Jim Morrison, Bob Dylan, The Rolling Stones, and many other figures whom the punk rockers were reacting against. Yet, she acted as a bridge between the two generations, finding common ground with both. The experimental and rebellious nature of her work made Smith and her band integral to the mid-'70s New York art rock scene, centered around the club CBGB on the Lower East Side. S
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Lenig, Stuart. Many Lives of Andy Warhol. Rowman & Littlefield, 2021. https://doi.org/10.5040/9798881828066.

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The Many Lives of Andy Warhol is more than a biography: it’s a look into Warhol’s greatest creation: himself. Warhol was known as the king of pop art, but the famous artist was secretly never satisfied with a single style and his journey took him from graphic designs of shoes, women’s fashions and glamour magazines to owning and publishing his own film and gossip magazine, Interview. Stuart Lenig takes us behind the scenes to explore Warhol’s many innovations in the art world. Warhol was a titanic technician, making art from new techniques. His designs for Glamour and Vogue used a innovative b
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Book chapters on the topic "Image Merging"

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Plattner, Michael, and Gerald Ostermayer. "Filtering Specular Reflections by Merging Stereo Images." In Image Analysis. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-20205-7_14.

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Mitiche, Amar, and Ismail Ben Ayed. "Region Merging Priors." In Variational and Level Set Methods in Image Segmentation. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15352-5_6.

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McInerney, Daniel, and Pieter Kempeneers. "Image (Re-)projections and Merging." In Open Source Geospatial Tools. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-01824-9_8.

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Flood, Gabrielle, David Gillsjö, Anders Heyden, and Kalle Åström. "Efficient Merging of Maps and Detection of Changes." In Image Analysis. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-20205-7_29.

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Karlsson, Anders, Jon Bjärkefur, Joakim Rydell, and Christina Grönwall. "Smoothing-Based Submap Merging in Large Area SLAM." In Image Analysis. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21227-7_13.

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Besl, Paul J. "Description Combination and Region Merging." In Surfaces in Range Image Understanding. Springer New York, 1988. http://dx.doi.org/10.1007/978-1-4612-3906-2_5.

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Kyöstilä, Tomi, Daniel Herrera C., Juho Kannala, and Janne Heikkilä. "Merging Overlapping Depth Maps into a Nonredundant Point Cloud." In Image Analysis. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38886-6_53.

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Shahid, Mohd, and Sumana Gupta. "Image Merging Based on Perceptual Information." In Pattern Recognition and Image Analysis. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11552499_75.

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Zhang, David, Hongzhi Zhang, and Bob Zhang. "Tongue Segmentation by Gradient Vector Flow and Region Merging." In Tongue Image Analysis. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-2167-1_6.

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Gorte, Ben. "Supervised Segmentation by Region Merging." In Machine Vision and Advanced Image Processing in Remote Sensing. Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-642-60105-7_30.

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Conference papers on the topic "Image Merging"

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Cheng, Rou, Jingliang Chen, Zhangrun Xia, and Chengzhun Lu. "RSFormer: medical image segmentation based on dual model channel merging." In 4th International Conference on Image Processing and Intelligent Control (IPIC 2024), edited by Kelin Du and Azlan bin Mohd Zain. SPIE, 2024. http://dx.doi.org/10.1117/12.3038559.

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Borisova, I. V., V. N. Gorenok, A. N. Oparin, and P. G. Popov. "Image merging device." In SPIE Proceedings, edited by Anatoly M. Filachev and Alexander I. Dirochka. SPIE, 2003. http://dx.doi.org/10.1117/12.517335.

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Nielsen, Frank, and Richard Nock. "Consensus Region Merging for Image Segmentation." In 2013 2nd IAPR Asian Conference on Pattern Recognition (ACPR). IEEE, 2013. http://dx.doi.org/10.1109/acpr.2013.142.

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Mishiba, Kazu, and Masaaki Ikehara. "Image resizing using improved seam merging." In ICASSP 2012 - 2012 IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE, 2012. http://dx.doi.org/10.1109/icassp.2012.6288118.

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Berretti, S., A. Del Bimbo, and P. Pala. "Merging results of distributed image libraries." In 2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698). IEEE, 2003. http://dx.doi.org/10.1109/icme.2003.1221241.

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Moscheni, Fabrice, and Frederic Dufaux. "Regions merging based on robust statistical testing." In Visual Communications and Image Processing '96, edited by Rashid Ansari and Mark J. T. Smith. SPIE, 1996. http://dx.doi.org/10.1117/12.233184.

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Gopalakrishnan Nair, T. R., and R. Sharma. "Accurate merging of images for predictive analysis using combined image." In 2013 International Conference on Signal Processing, Image Processing, and Pattern Recognition (ICSIPR). IEEE, 2013. http://dx.doi.org/10.1109/icsipr.2013.6497980.

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Zheng, Xiqiang. "Image Segmentation for Hexagonally Sampled Images Using Statistical Region Merging." In 2022 6th International Conference on Imaging, Signal Processing and Communications (ICISPC). IEEE, 2022. http://dx.doi.org/10.1109/icispc57208.2022.00015.

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Trenary, M. J., C. A. Micchelli, J. Q. Trelewicz, M. Martens, and J. L. Mitchell. "Fast DCT domain image shifting and merging." In Conference Record. Thirty-Fifth Asilomar Conference on Signals, Systems and Computers. IEEE, 2001. http://dx.doi.org/10.1109/acssc.2001.987675.

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Khanykov, Igor G., Mikhail V. Kharinov, and Chirag Patel. "Image segmentation improvement by reversible segment merging." In 2017 International Conference on Soft Computing and its Engineering Applications (icSoftComp). IEEE, 2017. http://dx.doi.org/10.1109/icsoftcomp.2017.8280096.

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Reports on the topic "Image Merging"

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Alevizos, E., T. Schoenning, K. Köser, M. Snellen, and J. Greinert. Merging AUV-based multibeam and image data to map the small-scale heterogeneity of Mn-nodule distribution. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2017. http://dx.doi.org/10.4095/305404.

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O'Neill, Francis, Kristofer Lasko, and Elena Sava. Snow-covered region improvements to a support vector machine-based semi-automated land cover mapping decision support tool. Engineer Research and Development Center (U.S.), 2022. http://dx.doi.org/10.21079/11681/45842.

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This work builds on the original semi-automated land cover mapping algorithm and quantifies improvements to class accuracy, analyzes the results, and conducts a more in-depth accuracy assessment in conjunction with test sites and the National Land Cover Database (NLCD). This algorithm uses support vector machines trained on data collected across the continental United States to generate a pre-trained model for inclusion into a decision support tool within ArcGIS Pro. Version 2 includes an additional snow cover class and accounts for snow cover effects within the other land cover classes. Overa
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