A review on joint carotid intima-media thickness and plaque area measurement in ultrasound for cardiovascular/stroke risk monitoring: artificial intelligence framework
Cardiovascular diseases (CVDs) are the top ten leading causes of death worldwide.
Atherosclerosis disease in the arteries is the main cause of the CVD, leading to myocardial …
Atherosclerosis disease in the arteries is the main cause of the CVD, leading to myocardial …
Modeling urban land-use changes using a landscape-driven patch-based cellular automaton (LP-CA)
J Lin, X Li, Y Wen, P He - Cities, 2023 - Elsevier
Cellular automaton (CA) is a widely-used tool for modeling land-use changes that can
enhance our understanding of past and future urban development. Previous studies have …
enhance our understanding of past and future urban development. Previous studies have …
[LIBRO][B] Introduction to digital image processing
WK Pratt - 2013 - books.google.com
This accessible textbook examines the basic technologies needed to support image
processing applications, including the characterization of continuous images, image …
processing applications, including the characterization of continuous images, image …
[PDF][PDF] Plant leaves image segmentation techniques: a review
SS Lomte, AP Janwale - Artic Int J Comput Sci Eng, 2017 - researchgate.net
Revised: 23/Apr/2017, Accepted: 23/May/2017, Published: 30/May/2017 Abstract:-
Segmentation is the process of dividing a digital image into number of parts of interest. The …
Segmentation is the process of dividing a digital image into number of parts of interest. The …
Survey of contemporary trends in color image segmentation
In recent years, the acquisition of image and video information for processing, analysis,
understanding, and exploitation of the underlying content in various applications, ranging …
understanding, and exploitation of the underlying content in various applications, ranging …
Combined morphological-spectral unsupervised image segmentation
RJ O'Callaghan, DR Bull - IEEE transactions on image …, 2004 - ieeexplore.ieee.org
The goal of segmentation is to partition an image into disjoint regions, in a manner
consistent with human perception of the content. For unsupervised segmentation of general …
consistent with human perception of the content. For unsupervised segmentation of general …
Robust superpixel-based fuzzy possibilistic clustering method incorporating local information for image segmentation
C Wu, J Zhao - The Visual Computer, 2024 - Springer
In recent years, several superpixel-segmentation methods have been developed to
efficiently segment noisy images. However, these methods still face challenges such as high …
efficiently segment noisy images. However, these methods still face challenges such as high …
A hybrid method combining pixel-based and object-oriented methods and its application in Hungary using Chinese HJ-1 satellite images
Pixel-based and object-oriented processing of Chinese HJ-1-A satellite imagery (resolution
30 m) acquired on 23 July 2009 were utilized for classification of a study area in Budapest …
30 m) acquired on 23 July 2009 were utilized for classification of a study area in Budapest …
Computer-aided diagnosis in mammography using content-based image retrieval approaches: current status and future perspectives
B Zheng - Algorithms, 2009 - mdpi.com
As the rapid advance of digital imaging technologies, the content-based image retrieval
(CBIR) has became one of the most vivid research areas in computer vision. In the last …
(CBIR) has became one of the most vivid research areas in computer vision. In the last …
A hybrid bio-inspired learning algorithm for image segmentation using multilevel thresholding
In the field of image analysis, segmentation is one of the most important preprocessing
steps. One way to achieve segmentation is the use of threshold selection, where each pixel …
steps. One way to achieve segmentation is the use of threshold selection, where each pixel …