Multiple spectral image segmentation using fuzzy techniques

Qiu, Hong-jie; Keller, James M.

doi:10.1016/0888-613x(88)90089-8

Cited by 4 publications

(2 citation statements)

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“…Although Image Processing was one of the first application fields of the Fuzzy Integral [26], data fusion operators used for image processing are still dominated by classical operators. Beyond the theoretical complex background, the lack of standardized procedures for the automated determination of the fuzzy measure coefficients [13] seem to be one of the reasons of this underestimation.…”

Section: Image Processing Applications Of the Fuzzy Integralmentioning

confidence: 99%

Soft Data Fusion in Image Processing

Soria-Frisch

2002

Soft Computing and Industry

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Abstract. Data fusion is a long tenn of research in image processing that is becoming more and more relevant owing to the complementary developments of computer and sensory technologies. Although operator research related to soft-computing, specially in the field of fuzzy systems, has evolved considerably during this last two decades, implemented frameworks of data fusion for image processing take seldom into consideration this kind of operators. Most of pattern recognition systems with image fusion are still based in basic operators, e.g. minimum or product. The purpose of the here presented tutorial is to analyze this fact, present some of the fuzzy aggregation operators in the context of data fusion for image processing and show some applications where the usage of the fuzzy integral, one of these operators, increased the perfonnance of image processing systems considering data fusion.

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Section: Image Processing Applications Of the Fuzzy Integralmentioning

confidence: 99%

Soft Data Fusion in Image Processing

Soria-Frisch

2002

Soft Computing and Industry

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“…The fuzzy integral has already been applied to image segmentation [10,11,12]. However, the here-presented approach differs from these segmentation procedures, since it does not attain the complete segmentation of the image but the discrimination of a particular color cluster, that is, this of the seal.…”

Section: Introductionmentioning

confidence: 96%

Color Seal Extraction from Documents: Robustness through Soft Data Fusion

Soria-Frisch

2005

EURASIP J. Adv. Signal Process.

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This paper presents a framework for the extraction of elements characterized by a particular color hue from color document images. The presented approach attains the detection of official seals, which will be thence analyzed by an embedding system in order to detect possible falsifications. The framework is based on the fusion operator denoted as fuzzy integral, whose robustness with respect to changes in the luminance and the saturation of particular hues is due to the use of the ranking among the input data as an influencing factor in the fusion result. The approach is evaluated on a real data set of tax forms delivered by custom houses, showing its successful performance

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