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Determination of the size of. Nanoparticles in photonic nanostructures from AFM images
Akhmadeev A., Salakhov M.
. This algorithm is based on a three-dimensional approximation of the segmented images by ellipsoids and it has
Быстрый алгоритм векторизации бинарных штриховых изображений
Стержанов, М. В., Sterjanov, M. V.
length encoding of the image. Then vectorization paths are created. Segments are extracted using fast
Automatic transformation of russian manual alphabet to digital text
Nahapetyan V.E., Khachumov V.M.
generation Asus Xtion Pro Live. Machine translation is achieved by capturing depth images of human hand
Сравнение моделей распознавания бесструктурных областей на изображениях пигментных новообразований кожи
Никитаев В.Г., Проничев А.Н., Козлов В.С., Сергеев В.Ю., Сергеев Ю.Ю., Тамразова О.Б., Лим А.О.
neoplasms based on different segmentation methods. 100 dermatoscopic images of skin neoplasms were used
Object selection in computer vision: From multi-thresholding to percolation based scene representation
Volkov V.Y., Bogachev M.I., Kayumov A.R.
of the conventional image segmentation, the proposed reconstruction leads to a multi-scale hierarchy of objects, thus
Selection texture regions on the image based on classification assessment density of contour elements
Alzakki, H. M., Tsviatkou, V. Yu., Альзаки, Х. М., Цветков, В. Ю.
A method for texture images segmentation based on selection texture regions on the image based
Methods and algorithms of image recognition for mineral rocks in the mining industry
Baklanova, Olga E., Baklanov, Mikhail A.
This paper describes development of methods and algorithms of image recognition for mineral rocks
Surface prediction for a single image of urban scenes
Akhmadeev F.
for three-dimensional scene recovering from one image of a man-made environment. We use image segmentation
Блочно-сегментный поиск локальных экстремумов изображений на основе анализа яркостей смежных пикселей и областей
Нгуен, А. Т., Цветков, В. Ю.
Block-segment search of local extrema of images based on analysis of brightnesses of related pixels
Использование стеков для сегментации изображений на основе выращивания областей
Цветков, В. Ю.
Using Stacks for Image Segmentation Based on Region Growing

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