Automatic recognition methods of fish feeding behavior in aquaculture: A review
Feeding is a major factor that determines the production costs and water quality of
aquaculture. Analysis of fish feeding behavior forms an important part of the feeding …
aquaculture. Analysis of fish feeding behavior forms an important part of the feeding …
Degraded historical document binarization: A review on issues, challenges, techniques, and future directions
In this era of digitization, most hardcopy documents are being transformed into digital
formats. In the process of transformation, large quantities of documents are stored and …
formats. In the process of transformation, large quantities of documents are stored and …
Flood inundation map**-Kerala 2018; Harnessing the power of SAR, automatic threshold detection method and Google Earth Engine
Flood inundation maps provide valuable information towards flood risk preparedness,
management, communication, response, and mitigation at the time of disaster, and can be …
management, communication, response, and mitigation at the time of disaster, and can be …
DeepOtsu: Document enhancement and binarization using iterative deep learning
This paper presents a novel iterative deep learning framework and applies it to document
enhancement and binarization. Unlike the traditional methods that predict the binary label of …
enhancement and binarization. Unlike the traditional methods that predict the binary label of …
End-to-end deep learning of lane detection and path prediction for real-time autonomous driving
DH Lee, JL Liu - Signal, Image and Video Processing, 2023 - Springer
Inspired by the UNet architecture of semantic image segmentation, we propose a lightweight
UNet using depthwise separable convolutions (DSUNet) for end-to-end learning of lane …
UNet using depthwise separable convolutions (DSUNet) for end-to-end learning of lane …
ICFHR 2012 competition on handwritten document image binarization (H-DIBCO 2012)
H-DIBCO 2012 is the International Document Image Binarization Competition which is
dedicated to handwritten document images organized in conjunction with ICFHR 2012 …
dedicated to handwritten document images organized in conjunction with ICFHR 2012 …
A new iterative triclass thresholding technique in image segmentation
We present a new method in image segmentation that is based on Otsu's method but
iteratively searches for subregions of the image for segmentation, instead of treating the full …
iteratively searches for subregions of the image for segmentation, instead of treating the full …
A robust 2D Otsu's thresholding method in image segmentation
C Sha, J Hou, H Cui - Journal of Visual Communication and Image …, 2016 - Elsevier
Otsu's method is a classic thresholding approach in image segmentation. While the two-
dimensional (2D) Otsu's method performs better than the original one in segmenting images …
dimensional (2D) Otsu's method performs better than the original one in segmenting images …
Junction detection in handwritten documents and its application to writer identification
In this paper, we propose a novel junction detection method in handwritten images, which
uses the stroke-length distribution in every direction around a reference point inside the ink …
uses the stroke-length distribution in every direction around a reference point inside the ink …
Writer identification using curvature-free features
Feature engineering takes a very important role in writer identification which has been
widely studied in the literature. Previous works have shown that the joint feature distribution …
widely studied in the literature. Previous works have shown that the joint feature distribution …