Tag: image processing

Enhanced SIFT algorithm for comparing images of vascular system

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. Enhanced SIFT algorithm for comparing images of vascular system//Science online: International Scientific e-zine - 2018. - №12. - https://nauka-online.com/en/publications/technical-sciences/2018/12/uluchshennyj-algoritm-sift-dlya-sravneniya-izobrazhenij-sosudistoj-sistemy/

Annotation: Reviewed the enhanced SIFT algorithm for comparing images of vascular system.

Methods of acceleration of image processing in a browser client

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Bibliographic description of the article for the citation:

. Methods of acceleration of image processing in a browser client//Science online: International Scientific e-zine - 2018. - №12. - https://nauka-online.com/en/publications/technical-sciences/2018/12/metody-uskoreniya-obrabotki-izobrazhenij-v-brauzernom-kliente/

Annotation: In this work technologies and methods that help to accelerate the processing of images in the browser client are investigated.

Application of active contour model for medical image processing

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. Application of active contour model for medical image processing//Science online: International Scientific e-zine - 2018. - №6. - https://nauka-online.com/en/publications/technical-sciences/2018/6/primenenie-modeli-aktivnyh-konturov-dlya-obrabotki-meditsinskih-izobrazhenij/

Annotation: Reviewed the possibility of using an active contour model for medical image processing.

Processing of fragments of the medical image by the modified convolution algorithm

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Bibliographic description of the article for the citation:

. Processing of fragments of the medical image by the modified convolution algorithm//Science online: International Scientific e-zine - 2018. - №5. - https://nauka-online.com/en/publications/technical-sciences/2018/5/obrabotka-fragmentov-meditsinskogo-izobrazheniya-algoritmom-modifitsirovannoj-svertki/

Annotation: The article discusses some existing solutions for image filtration and approaches that will automate this process, proposes a new alternative, the essence of which is to combine the architecture of the neural network and the convolutional operation, which has a kernel of convolution of arbitrary size.

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