نتایج جستجو برای: color knowledge

تعداد نتایج: 681414  

2014
Peng Lu Zhijie Kuang Xujun Peng Ruifan Li

Color harmony is an important factor for image aesthetics assessment. Although plenty of color harmony theories are proposed by artists and scientists, there is little firm consensus and ambiguous definition amongst them, or even contradictory between them, which causes the existing theories infeasible for image aesthetics assessment. In order to overcome the problem of conventional color harmo...

2014
Risheng Han Shigen Shen Guangxue Yue Hui Ding

A novel BA complex network model of color space is proposed based on two fundamental rules of BA scale-free network model: growth and preferential attachment. The scale-free characteristic of color space is discovered by analyzing evolving process of template's color distribution. And then the template's BA complex network model can be used to select important color pixels which have much large...

2015
Mike Webster

It is evident that color vision evolved to inform organisms about their environment and thus must be shaped by the environment the organism is in. The color properties of the world are a potent factor affecting not only the basic mechanisms of color vision within a species but also how they are calibrated and fine-tuned within the individual. As a result, many aspects of the physiology of color...

2017
Hongqin Zhang David Messinger Ethan Montag David W. Messinger Ethan D. Montag

This study investigated appropriate methodologies for displaying hyperspectral imagery based on knowledge of human color vision as applied to Hyperion and AVIRIS data. Principal Component Analysis (PCA) and Independent Component Analysis (ICA) were used to reduce the data dimensionality in order to make the data more amenable to visualization in three-dimensional color space. In addition, these...

Journal: :CoRR 2015
Alexandros Karargyris

Deep networks have become very popular over the past few years. The main reason for this widespread use is their excellent ability to learn and predict knowledge in a very easy and efficient way. Convolutional neural networks and auto-­‐encoders have become the normal in the area of imaging and computer vision achieving unprecedented BLOCKIN BLOCKIN accuracy BLOCKIN BLOCKIN levels BLOCKIN BLOCK...

Journal: :CoRR 2017
Do-Guk Kim Jong-Uk Hou Heung-Kyu Lee

Color laser printers have fast printing speed and high resolution, and forgeries using color laser printers can cause significant harm to society. A source printer identification technique can be employed as a countermeasure to those forgeries. This paper presents a color laser printer identification method based on cascaded learning of deep neural networks. The refiner network is trained by ad...

1998
Madirakshi Das R. Manmatha Edward M. Riseman

We describe a solution to the problem of indexing images of flowers for searching a flower patents database by color. We use a natural language color classification derived from the ISCC-NBS color system and the X Window color names to effectively use the domain knowledge available, provide perceptually correct retrieval and allow natural language queries. We have developed an automatic iterati...

2006
Lior Shamir

Many color vision systems require a first step of classifying pixels in a given image into a discrete set of color classes. In this paper we describe a human perceptionbased approach to pixel color segmentation. Fuzzy sets are defined on the H, S and V components of the HSV color space and provide a fuzzy logic model that aims to follow the human intuition of color classification. Experiments s...

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