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Automatic Extraction Of Object Region From Photographs

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Automatic Extraction of Object Region from Photographs

    https://link.springer.com/chapter/10.1007/3-540-45103-X_148
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Automatic Extraction of Object Region from Photographs

    https://www.researchgate.net/publication/220809474_Automatic_Extraction_of_Object_Region_from_Photographs
    It will be shown that our new method will be able to extract object region with a correct rate of approximately 93% if object images are well-focused. Extracted results of all images. Extracted ...

Automatic extraction of object region from photographs

    https://dl.acm.org/doi/10.5555/1763974.1764144
    Home Browse by Title Proceedings SCIA'03 Automatic extraction of object region from photographs. Article . Free Access. Automatic extraction of object region from photographs. Share on. Authors: Takeshi Saitoh. Toyohashi University of Technology, Toyohashi, Japan.

Automatic Extraction of Object Region from Photographs

    https://www.semanticscholar.org/paper/Automatic-Extraction-of-Object-Region-from-Saitoh-Aoki/ee2f661113de3e1f146e3027e87281a6351db87e
    This paper presents a newmetho d for automatically extracting an object region from a photograph based upon a well-known method "Intelligent Scissors" (IS). For our application, it will be shown that (1) the cost should not be based on accumulated cost adopted by IS but rather on average cost and (2) only a fewpast pixels are needed for deciding the future route.

Automatic Extraction of Object Region from Photographs

    https://www.infona.pl/resource/bwmeta1.element.springer-ae847e1e-d647-3dcf-af8c-488fda3ea74c/tab/summary?locale=en
    This paper presents a new method for automatically extracting an object region from a photograph based upon a well-known method “Intelligent Scissors” (IS). For our application, it will be shown that (1) the cost should not be based on accumulated cost adopted by IS but rather on average cost and (2) only a few past pixels are needed for deciding the future route.

AutomaticExtractionofObjectRegionfrom Photographs

    https://www.researchgate.net/profile/Takeshi-Saitoh/publication/220809474_Automatic_Extraction_of_Object_Region_from_Photographs/links/552538580cf24fc7fded918b/Automatic-Extraction-of-Object-Region-from-Photographs.pdf
    Mitsunaga et al.[10] proposed an object boundary extraction method based on the gradient of the color image and the alpha value which they define. It generates

Automatic Object Extraction from Images Using Deep …

    https://www.researchgate.net/publication/323189713_Automatic_Object_Extraction_from_Images_Using_Deep_Neural_Networks_and_the_Level_Set_Method
    Wu and Yizhou [37] proposed an automatic method for fine quality extraction of objects from photographs. The foreground pixels are extracted to form texture feature using classifiers and...

Automatic object extraction from images using deep neural …

    https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/iet-ipr.2017.1144
    The authors propose an automatic method for extracting objects with fine quality from photographs. The authors’ method starts with finding bounding boxes that enclose potential objects, which is achievable by state-of-the-art object proposal methods.

An Approach to Automatic Detection and Extraction of …

    https://link.springer.com/chapter/10.1007/978-3-642-32384-3_1
    Localisation and extraction of a salient region in an image constitutes an important task in computer vision. It is a very challenging problem due to its ill-posed nature. Furthermore, it is not always evident even for humans. In this paper we present an approach for automatic detection and extraction of salient regions.

Image Region Extraction of Moving Objects | SpringerLink

    https://link.springer.com/chapter/10.1007/978-3-642-87037-8_5
    U. Ramer: Extraction of line structures from photographs of curved objects. Comput. Graph. Image Proc. 4, 81–103 (1975) CrossRef Google Scholar M.D. Kelly: “Edge Detection in Pictures by Computer Using Planning”, in Machine Intelligence 6, ed. by B. Meltzer, D. Michie (Edinburgh Univ. Press, Edinburgh 1971) pp.379–409

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