Efficiency of Segmenting Zones of Interest in Locally Hhomogeneous ScenesWe explore the possibilities of
segmenting zones of interest on locally homogeneous scenes by some
Адаптивное двухпороговое квантование и сегментация изображений на основе разделения и слияния областейАльмияхи, О. М.,
Цветков, В. Ю.,
Конопелько, В. К.,
Гусева, О. В.,
Almiahi, O. M.,
Tsviatkou, V. Yu.,
Kanapelka, V. K.,
Guseva, O. V. -threshold quantization for
segmentation of gray-scale
images using a
modified method of separation and merging
DSDNet Neural Network for Shadow Detection from Urban Satellite Images and
image processing. The increase of computing power has enabled many deep learning approaches to solve
Image Segmentation of Skin Neoplasms Using the Active Contour MethodTamrazova O.B.,
Voronin A.E.,
Pronichev A.N.,
Nikitaev V.G.,
Solomatin M.A.,
Zanegina T.P.,
Arkhangelskaya I.V.,
Petukhova A.I.,
Bagnova P.Yu.,
Soshnina A.V.,
Sergeev V.Yu.,
Sergeev Yu.Yu. exceeding human capabilities. The article reveals the method of automatic
segmentation on the basis
Встречное волновое выращивание областей локальных экстремумов полутоновых изображений for
segmentation of halftone
images based on counter-wave growth of local
extremum regions (minima and maxima
A cumulative sums algorithm for segmentation of digital X‑ray images multilevel cumulative sums algorithm for automatic
image segmentation is proposed. The algorithm is based