Zobrazeno 1 - 4
of 4
pro vyhledávání: '"O. M. Almiahi"'
Publikováno v:
Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki, Vol 0, Iss 6, Pp 48-54 (2019)
Developing a method of segmentation and compact multiscale representation of images based on the progressive backward clustering. The method provides an accurate segmentation, multiscale representation and compression of the segmented images, adaptat
Externí odkaz:
https://doaj.org/article/fac0ebde96384b4eb2027f39dfd34cb4
Publikováno v:
Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki, Vol 0, Iss 8, Pp 82-88 (2019)
Algorithms for fast segmentation of gray scale images based on the block of the wave region growing using quadra-grid pixels are suggested. The algorithms allow to adapt to accessible computational resources and the required accuracy of the segmentat
Externí odkaz:
https://doaj.org/article/5a607b0b25384ae6ae362e6115f1a52c
Publikováno v:
Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki, Vol 0, Iss 3, Pp 24-30 (2019)
A method for segmentation of images based on the wave region growing is suggested. In contrast to known methods of segmentation the proposed method allows to divide the regions with smoothing drops of brightness and adapt to the constraints time of s
Externí odkaz:
https://doaj.org/article/07712f3176be4c678219a9870459fb1e
Publikováno v:
Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki, Vol 0, Iss 7, Pp 183-187 (2019)
The results of evaluating the effectiveness of the adaptive two-threshold quantization in comparison with one-threshold quantization for segmentation of gray-scale images using a modified method of separation and merging of areas based on progressive
Externí odkaz:
https://doaj.org/article/2db93802c60a41bd9468196cd3427789