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色彩數量與面積因素影響圖像複雜度之量化研究

Quantification of Pictorial Complexity Contributed by Factors of Color Number and Relative Area

摘要


The main purpose of this study aimed to investigate the relationship between two factors (color number and relative area) and pictorial complexity through visual search approach, and the appropriate quantification of the relationship was also concluded via complexity measure approach. The results indicated positive relationship between color number and pictorial complexity when the number of different colors used in a picture is less than 6. The increasing rate becomes graded while more than 6 colors are involved. Besides, the relationship between difference of color areas and complexity value was inverse proportion. Finally, 2 appropriate quantifications were proposed in this study: (1) (The equation is abbreviated), where (The equation is abbreviated), S the set of all elements, S(subscript i) the set of elements of i(superscript th) color. (2) (The equation is abbreviated), If i=j, then (The equation is abbreviated), If i=j then (The equation is abbreviated). S is the set of all elements,and S(subscript i) is the set of elements of i(superscript th) color. Quantification H1 focuses on describing the influence of elements to pictorial complexity, and H2 focuses on describing the influence of relationship between each pair of elements to pictorial complexity.

並列摘要


The main purpose of this study aimed to investigate the relationship between two factors (color number and relative area) and pictorial complexity through visual search approach, and the appropriate quantification of the relationship was also concluded via complexity measure approach. The results indicated positive relationship between color number and pictorial complexity when the number of different colors used in a picture is less than 6. The increasing rate becomes graded while more than 6 colors are involved. Besides, the relationship between difference of color areas and complexity value was inverse proportion. Finally, 2 appropriate quantifications were proposed in this study: (1) (The equation is abbreviated), where (The equation is abbreviated), S the set of all elements, S(subscript i) the set of elements of i(superscript th) color. (2) (The equation is abbreviated), If i=j, then (The equation is abbreviated), If i=j then (The equation is abbreviated). S is the set of all elements,and S(subscript i) is the set of elements of i(superscript th) color. Quantification H1 focuses on describing the influence of elements to pictorial complexity, and H2 focuses on describing the influence of relationship between each pair of elements to pictorial complexity.

參考文獻


Bauer, B.(1996).Visual search for colour targets that are or are not linearly separable from distractors.Vision Research.36(10),1439-1465.
Brebner, J. T.,Welford, A. T.(1980).Reaction Times.New York:Academic Press.
Bricker, P. D.,Henry Quastler Glencoe Ill(Edited)(1955).Information measurement and reaction time: A review, Information Theory in Psychology: Problems and methods.Free Press.
Carter, R. C.(1982).Visual search with color.Journal of Experimental Psychology: Human Perception and Performance.8(1),127-136.
D'Zmura, M.(1991).Color in visual search.Vision Research.31,951-966.

被引用紀錄


張沛喬(2013)。探討智慧型手機之圖像式樣化設計對使用者認知之影響〔碩士論文,國立臺北科技大學〕。華藝線上圖書館。https://doi.org/10.6841/NTUT.2013.00662
朱碧霙(2010)。數位攝影圖像視覺化之海報設計創作研究〔碩士論文,國立臺灣師範大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0021-1610201315192297

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