Fuzzy Image Segmentation Based on Triangular Function and Its n-dimensional Extension

Pătraşcu, Vasile

doi:10.1007/978-3-540-38233-1_7

Cited by 9 publications

(5 citation statements)

References 11 publications

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“…In this paper, the color space is used since it is easy to convert; in addition to that, the color space separates the brightness from channel to the texture information in channels and . The conversion of the RGB color space to is done with the following equations (Pătraşcu, 2007):…”

Section: Colormentioning

confidence: 99%

Superpixels extraction by an Intuitionistic fuzzy clustering algorithm

Mújica-Vargas¹

2021

JART

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A scheme to develop the image over-segmentation task is introduced in this paper, it considers the pixels of an image as intuitive fuzzy sets and develops an intuitionistic clustering process of them. In this regard, the main contribution is to provide a method for extracting superpixels with greater adherence to the edges of the regions. Experimental tests were developed considering biomedical grayscale and natural color images. The robustness and effectiveness of this proposal was verified by quantitative and qualitative results.

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Section: Colormentioning

confidence: 99%

Superpixels extraction by an Intuitionistic fuzzy clustering algorithm

Mújica-Vargas¹

2021

JART

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“…Using the dissimilarity defined by (33) in the framework of k-means algorithm, one obtains a color clustering algorithm. The algorithm k-means [7], [11] is one of the simplest algorithms that solve the clustering problem. The procedure classifies a given data set through a certain number of clusters fixed a priori.…”

Section: Color Clustering In the Rgbwk Space Using The Bhattacharyya ...mentioning

confidence: 99%

A Novel Penta-Valued Descriptor for Color Clustering

Pătraşcu¹

2014

Lecture Notes in Computer Science

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This paper proposes a new color representation. This representation belongs to the penta-valued category and it has three chromatic components (red, blue and green) and two achromatic components (black and white). The proposed penta-valued representation is obtained by constructing a fuzzy partition in the RGB color space. In the structure of the penta-valued representation, it is defined the well known negation operator and supplementary, two new unary operators: the dual and the complement. Also, using the Bhattacharyya formula, it is defined a new inter-color similarity. Next, the obtained inter-color similarity is used in the framework of k-means clustering algorithm. On this way, it results a new color image clustering method. Some examples are presented in order to prove the effectiveness of the proposed multi-valued color descriptor.

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“…A color specification system based on luminosity, saturation, and hue form a perceptual representation system that is obtained by some transforms applied to the RGB system [19].…”

Section: Color Robust C-prototypesmentioning

confidence: 99%

“…For this, we propose to use classical M-estimators and as the robust framework [18], states to use their loss and influence functions instead. We extent the proposed algorithm in a bidimensional clustering approach using the chromatic subspace in the IJK color space to segment color images [19].…”

Section: Introductionmentioning

confidence: 99%

Robust c-prototypes algorithms for color image segmentation

et al. 2013

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In this paper, we present a modified clustering algorithm to segment color images. The proposed technique is based on the robust c-prototypes algorithm with some modifications in its objective function and updating equations. The JK chromatic subspace of the IJK color space is used to segment color images. The algorithm performance is tested on real images with natural artifacts that make the segmentation process difficult. Additionally, a remote sensing image is segmented to demonstrate that the proposed algorithm can be used in real applications. Simulation results indicate that the proposed method is more effective than others proposed in the literature in terms of objective and subjective criteria.

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Fuzzy Image Segmentation Based on Triangular Function and Its n-dimensional Extension

Cited by 9 publications

References 11 publications

Superpixels extraction by an Intuitionistic fuzzy clustering algorithm

Superpixels extraction by an Intuitionistic fuzzy clustering algorithm

A Novel Penta-Valued Descriptor for Color Clustering

Robust c-prototypes algorithms for color image segmentation

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