Partitioning intensity inhomogeneity colour images via Saliency-based active contour
Partitioning or segmenting intensity inhomogeneity colour images is a challenging problem in computer vision and image shape analysis. Given an input image, the active contour model (ACM) which is formulated in variational framework is regularly used to partition objects in the image. A selective ty...
Published in: | International Journal of Electrical and Computer Engineering |
---|---|
Main Author: | Mazlin M.S.; Jumaat A.K.; Embong R. |
Format: | Article |
Language: | English |
Published: |
Institute of Advanced Engineering and Science
2024
|
Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85183612913&doi=10.11591%2fijece.v14i1.pp337-346&partnerID=40&md5=5875e4d6c03e1493b16c58c11a4cc022 |
Similar Items
-
Saliency-based variational active contour model for image with intensity inhomogeneity
by: Mazlin M.S.; Jumaat A.K.; Embong R.
Published: (2023) -
Local image fitting-based active contour for vector-valued images
by: Azam A.S.B.; Jumaat A.K.; Maasar M.A.; Laham M.F.; Rahman N.N.A.
Published: (2023) -
Active Contour Models for Boundary Extraction with Application to Medical Images with Noise
by: Kon N.A.; Jumaat A.K.; Suhaizi M.D.A.
Published: (2024) -
Variational Fuzzy Energy Active Contour Models for Image Segmentation: A Review
by: Saibin T.C.; Bin Jumaat A.K.; Yusoff M.
Published: (2023) -
Bias field correction-based active contour model for region of interest extraction in digital image
by: Rosli N.A.S.; Jumaat A.K.; Maasar M.A.; Laham M.F.; Rahman N.N.A.
Published: (2023)