Consumer Perceptions of Food via Image Processing
Simin Hagh-Nazari (),
Hamid Reza Taheri (),
Pouran Zakani (),
Ali Asadi and
Maedeh Javadi
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Simin Hagh-Nazari: University of Zanjan
Hamid Reza Taheri: University of Zanjan
Pouran Zakani: University of Zanjan
Ali Asadi: University of Zanjan
Maedeh Javadi: University of Zanjan
Chapter Chapter 26 in Consumer Perceptions and Food, 2024, pp 545-559 from Springer
Abstract:
Abstract In today's digital age, where visual content dominates various platforms, understanding consumer perception has become crucial for businesses striving to effectively communicate their brand message. As consumers increasingly rely on images to make purchasing decisions, the field of image processing has emerged as a powerful tool for analyzing and interpreting consumer responses. This chapter delves into the realm of consumer perception through the lens of image processing of food, shedding light on the intricate relationship between visual stimuli and consumer behavior. It explored the fundamental concepts and methodologies employed in the study of consumer perception of food via image processing. It analyzed various visual cues, such as colour, shape, texture, and composition, with the aims to provide a comprehensive understanding of how images shape consumer perception of food. Furthermore, the chapter delves into the practical applications of image processing in the realm of marketing and advertising. By harnessing the insights gained from analyzing consumer perception, businesses can tailor their visual content to evoke desired emotional responses and effectively engage their target audience. From designing impactful advertisements to optimizing product packaging, image processing offers a wealth of opportunities to enhance brand perception and drive consumer behavior.
Keywords: Image processing; Food product; Consumer perceptions; Colour; Texture; Shape (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-97-7870-6_26
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DOI: 10.1007/978-981-97-7870-6_26
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