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Journal ArticleDOI

Color image segmentation: advances and prospects

Heng-Da Cheng, +3 more
- 01 Dec 2001 - 
- Vol. 34, Iss: 12, pp 2259-2281
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TLDR
This survey provides a summary of color image segmentation techniques available now based on monochrome segmentation approaches operating in different color spaces and some novel approaches such as fuzzy method and physics-based method are investigated.
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This article is published in Pattern Recognition.The article was published on 2001-12-01. It has received 1682 citations till now. The article focuses on the topics: Image segmentation & Scale-space segmentation.

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Citations
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Proceedings ArticleDOI

Real-time scene text localization and recognition

TL;DR: The proposed end-to-end real-time scene text localization and recognition method achieves state-of-the-art text localization results amongst published methods and it is the first one to report results for end- to-end text recognition.
Journal ArticleDOI

Characterization and Analysis of Porosity and Pore Structures

TL;DR: There are a large number of methods for quantifying porosity, and an increasingly complex idea of what it means to do so as discussed by the authors, which is why it is important to quantify the relationships between porosity and storage, transport and rock properties, however, the pore structure must be measured and quantitatively described.
Journal ArticleDOI

A Survey of Digital Map Processing Techniques

TL;DR: This article presents an overview of existing map processing techniques, bringing together the past and current research efforts in this interdisciplinary field, to characterize the advances that have been made, and to identify future research directions and opportunities.
Journal ArticleDOI

Automated breast cancer detection and classification using ultrasound images: A survey

TL;DR: Generally, a CAD system consists of four stages: preprocessing, segmentation, feature extraction and selection, and classification, and their advantages and disadvantages are discussed.
Journal ArticleDOI

Salient Object Detection: A Survey

TL;DR: A comprehensive review of recent progress in salient object detection is provided and this field is situate among other closely related areas such as generic scene segmentation, object proposal generation, and saliency for fixation prediction.
References
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Journal ArticleDOI

A Computational Approach to Edge Detection

TL;DR: There is a natural uncertainty principle between detection and localization performance, which are the two main goals, and with this principle a single operator shape is derived which is optimal at any scale.
Journal ArticleDOI

A review on image segmentation techniques

TL;DR: Attempts have been made to cover both fuzzy and non-fuzzy techniques including color image segmentation and neural network based approaches, which addresses the issue of quantitative evaluation of segmentation results.
Journal ArticleDOI

A validity measure for fuzzy clustering

TL;DR: The authors present a fuzzy validity criterion based on a validity function which identifies compact and separate fuzzy c-partitions without assumptions as to the number of substructures inherent in the data.
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A survey of thresholding techniques

TL;DR: This paper presents a survey of thresholding techniques and attempts to evaluate the performance of some automatic global thresholding methods using the criterion functions such as uniformity and shape measures.
Journal ArticleDOI

Clustering of the self-organizing map

TL;DR: The two-stage procedure--first using SOM to produce the prototypes that are then clustered in the second stage--is found to perform well when compared with direct clustering of the data and to reduce the computation time.
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