Quantitative study on color characteristics of urban park landscapes based on K-means clustering and SD. method

Feng, Jingyang; Zhang, Kai; Xu, Zhihong; Du, Chenfan; Tang, Xiaohong; Zhang, Lingqing

doi:10.1007/s12145-024-01235-4

Earth Sci Inform

2024

DOI: 10.1007/s12145-024-01235-4

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Quantitative study on color characteristics of urban park landscapes based on K-means clustering and SD. method

Jingyang Feng,

Kai Zhang,

Zhihong Xu

et al.

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Cited by 3 publications

References 47 publications

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Optimizing community green roof spaces in high-density cities: a K-modes clustering algorithm based analysis of resident preferences and spatial configuration

Cui,

Zhang

2024

Journal of Asian Architecture and Building Engineering

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Optimizing community green roof spaces in high-density cities: a K-modes clustering algorithm based analysis of resident preferences and spatial configuration

Cui,

Zhang

2024

Journal of Asian Architecture and Building Engineering

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A data-driven approach to traditional village colors: K-Means clustering of online images

Zhong

2024

Journal of Asian Architecture and Building Engineering

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Dequantenhancement by spatial color algorithms

Sarti,

Ramella,

Rizzi

2024

J. Opt. Soc. Am. A

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Spatial color algorithms (SCAs) are algorithms grounded in the retinex theory of color sensation that, mimicking the human visual system, perform image enhancement based on the spatial arrangement of the scene. Despite their established role in image enhancement, their potential as dequantizers has never been investigated. Here, we aim to assess the effectiveness of SCAs in addressing the dual objectives of color dequantization and image enhancement at the same time. To this end, we propose the term dequantenhancement. In this paper, through two experiments on a dataset of images, SCAs are evaluated through two distinct pathways: first, quantization followed by filtering to assess both dequantization and enhancement; and second, filtering applied to original images before quantization as further investigation of mainly the dequantization effect. The results are presented both qualitatively, with visual examples, and quantitatively, through metrics including the number of colors, retinal-like subsampling contrast (RSC), and structural similarity index (SSIM).

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Quantitative study on color characteristics of urban park landscapes based on K-means clustering and SD. method

Cited by 3 publications

References 47 publications

Optimizing community green roof spaces in high-density cities: a K-modes clustering algorithm based analysis of resident preferences and spatial configuration

Optimizing community green roof spaces in high-density cities: a K-modes clustering algorithm based analysis of resident preferences and spatial configuration

A data-driven approach to traditional village colors: K-Means clustering of online images

Dequantenhancement by spatial color algorithms

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