Fusion of Measures for Image Segmentation Evaluation
Image segmentation is an important task in image processing. However, no universally accepted quality scheme exists for evaluating the performance of various segmentation algorithms or just different parameterizations of the same algorithm. In this paper, an extension of a fusion-based framework for...
Main Authors: | Macmillan Simfukwe, Bo Peng, Tianrui Li |
---|---|
Format: | Article |
Language: | English |
Published: |
Atlantis Press
2019-02-01
|
Series: | International Journal of Computational Intelligence Systems |
Subjects: | |
Online Access: | https://www.atlantis-press.com/article/125905654/view |
Similar Items
-
Image Compression Based on a Partially Rotated Discrete Cosine Transform With a Principal Orientation
by: Gihwan Lee, et al.
Published: (2021-01-01) -
Closing the Performance Gap between Siamese Networks for Dissimilarity Image Classification and Convolutional Neural Networks
by: Loris Nanni, et al.
Published: (2021-08-01) -
Approximate calculation of 8-point DCT for various scenarios of practical applications
by: Dariusz Puchala
Published: (2021-05-01) -
Postprocessing of images coded using block DCT at low bit rates.
Published: (2007) -
Region-based Image Segmentation by Watershed Partition and DCT Energy Compaction
by: Chi-Man Pun, et al.
Published: (2012-02-01)