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Split and Merge: A Region Based Image Segmentation
- https://ukdiss.com/examples/region-based-image-segmentation.php#:~:text=Split%20and%20merge%20is%20based%20on%20the%20divide,rule%20is%20used%20to%20produce%20final%20segmentation%20results.
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Split-and-merge segmentation of aerial photographs
- https://www.sciencedirect.com/science/article/pii/S0734189X8880032X
- A method of segmenting aerial photographs is described which approximates the image intensity surface by planar facets. This is accomplished using a s…
Split-and-merge segmentation of aerial photographs
- https://www.academia.edu/27734267/Split_and_merge_segmentation_of_aerial_photographs
- Split-and-merge segmentation of aerial photographs
Split-and-merge segmentation of aerial photographs
- https://www.sciencedirect.com/science/article/abs/pii/S0734189X8880032X
- A method of segmenting aerial photographs is described which approximates the image intensity surface by planar facets. This is accomplished using a split-and-merge approach. A combination of an F-test and a mean predicate is used to test the uniformity of regions. When two regions are merged together to form a new region, the nine variables needed to compute the least-squares …
Split-and-merge segmentation of aerial photographs
- https://dl.acm.org/doi/abs/10.1016/S0734-189X%2888%2980032-X
- Computer Vision, Graphics, and Image Processing. Periodical Home; Latest Issue; Archive; Authors; Affiliations; Home Browse by Title Periodicals Computer Vision, Graphics, and Image Processing Vol. 44, No. 1 Split-and-merge segmentation of aerial photographs
Split-and-merge segmentation of aerial photographs
- https://www.semanticscholar.org/paper/Split-and-merge-segmentation-of-aerial-photographs-Laprade/41b3e943be97de4b4e57a7fcf340ba635915974d
- A method of segmenting aerial photographs is described which approximates the image intensity surface by planar facets. This is accomplished using a split-and-merge approach. A combination of an F-test and a mean predicate is used to test the uniformity of regions.
Split-and-merge segmentation of aerial photographs
- https://researchr.org/publication/Laprade88
- Researchr. Researchr is a web site for finding, collecting, sharing, and reviewing scientific publications, for researchers by researchers. Sign up for an account to create a profile with publication list, tag and review your related work, and share bibliographies with your co-authors.
Region Splitting and Merging Technique For Image …
- https://www.slideshare.net/SomitSamanto1/region-splitting-and-merging-technique-for-image-segmentation
- Split and Merge Approach: • This is a 2 step procedure: – top-down: split image into homogeneous quadrant regions – bottom-up: merge similar adjacent regions • The algorithm includes: Top-down – successively subdivide image into quadrant regions Ri – stop when all regions are homogeneous: P(Ri ) = TRUE) obtain quadtree structure Bottom-up – at each level, …
Split and Merge: A Region Based Image Segmentation
- https://ukdiss.com/examples/region-based-image-segmentation.php
- Chen et al. in 1991 proposed an automatic adaptive split and merge image segmentation algorithm. The parameters are calculated automatically and totally depends upon the image to be segmented . Strasters in 1991 introduced 3-D split and merge algorithm which is extension of 2-d SM algorithm proposed in .
Semantic Segmentation of Aerial Images Using Deep …
- https://towardsdatascience.com/semantic-segmentation-of-aerial-images-using-deep-learning-90fdf4ad780
- Dataset- I applied my model to Iniria Aerial Image Labeling Dataset. This dataset consists of 180 aerial images of urban settlements in Europe and United States, and is labeled as a building and not building classes. Every image in the data set is RGB and has 5000×5000 pixels resolution where each pixel corresponds to a 30cm×30cm of Earth ...
(PDF) Semantic Segmentation of Aerial Imagery via Split …
- https://www.researchgate.net/publication/350281082_Semantic_Segmentation_of_Aerial_Imagery_via_Split-Attention_Networks_with_Disentangled_Nonlocal_and_Edge_Supervision
- In this work, we propose a new deep convolution neural network (DCNN) architecture for semantic segmentation of aerial imagery. Taking advantage of recent research, we …
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