A New Automatic Watercolour Painting Algorithm Based on Dual Stream Image Segmentation Model with Colour Space Estimation

Image processing plays a crucial role in automatic watercolor painting by manipulating the digital image to achieve the desired watercolor effect. segmentation in automatic watercolor painting algorithms is essential for region-based processing, color mixing and blending, capturing brushwork and texture, and providing artistic control over the final result. It allows for more realistic and expressive watercolor-like paintings by processing different image regions individually and applying appropriate effects to each segment. Hence, this paper proposed an effective Dual Stream Exception Maximization (DSEM) for automatic image segmentation. DSEM combines both color and texture information to segment an image into meaningful regions. This approach begins by converting the image from the RGB color space to a perceptually-based color space, such as CIELAB, to account for variations in lighting conditions and human perception of color.  With the color space conversion, DSEM extracts relevant features from the image. Color features are computed based on the values of the color channels in the chosen color space, capturing the nuances of color distribution within the image. Simultaneously, texture features are derived by computing statistical measures such as local variance or co-occurrence matrices, capturing the textural characteristics of the image. Finally, the model is applied over the deep learning model for the classification of the color space in the painting. Simulation analysis is performed compared with conventional segmentation techniques such a CNN and RNN. The comparative analysis states that the proposed DSEM exhibits superior performance compared to conventional techniques in terms of color space estimation, texture analysis and region merging. The performance of classification with DSEM is ~12% higher than the conventional techniques

Decoding the Visual Characteristics of Chinese Painting Strokes-A Study on Gao Gu You Si Stroke

The architect Le Corbusier once said this theory: Design has local characteristics and universal characteristics. Local characteristics are greatly influenced by culture. The strokes are the one essence of Chinese painting that characteristics of the strokes are unique to Chinese visual culture. Among Chinese painting strokes, Eighteen Strokes are the typical representative of the aesthetics of Chinese visual culture. However, the current research on the cultural characteristics of Eighteen Strokes is insufficient. The objective of this article is taking Xie He’s Six Canons as the theory to decode the content of the aesthetic characteristics of the Gao Gu You Si Stroke (one of the Eighteen Strokes), then to get the visual cultural characteristics of Chinese painting strokes and the fundamental perspective characteristics of the inheritance visual cultural. Based on this, this article will use the Content Analysis Approach to conduct research, by decoding the aesthetic content of the Chinese painting strokes to construct the personality and characteristics required by Chinese visual design

Research on the Sustainable Utilization of Ceramic Waste under the Green Development Model

China is a big ceramic country, and the production of ceramics has been the first in the world. With the development of the ceramic industry, there are also more and more waste materials. Such a large amount of ceramic waste is not a simple landfill that can solve the problem. Through the analysis of the current situation of solid waste in our ceramic industry, we see that the modern decoration and ceramic raw material regeneration technology to the life cycle of ceramic product design and arrangement make the resources and energy most effectively consumption configuration, so as to achieve the purpose of ceramic waste reduction, recycling, harmless, make ceramic industry production on the road of sustainable development

Research on diversified application of modular high temperature ceramic kiln

Modular ceramic kiln can meet more than 10 kinds of ceramic firing technology, such as carburizing, wood burning, soda burning,Shinoya, oxidation firing, reduction firing, which adopt a full range of safety warning device, monitor and record the whole process of fire, guarantee the stability of the firing process, and provide reference data for the next fire. Modular ceramic kiln can meet various of ceramic kiln firing technology after physical kiln experiments, and has many advantages such as less investment, quick effect, broad use, etc. which can be widely used in the laboratory of colleges, universities and scientific research process

Kansei Engineering as a Tool for the Design of Traditional Pattern

Traditional patterns are widely used in the modern design due to their long history, rich connotation, and beautiful form. However, the current application of traditional patterns in the modern design is mostly based on the designer's subjective preferences, not from the perspective of consumers, to explore their feelings about traditional patterns, and which design factors have an impact on consumers, which is the main reason why modern applications of traditional patterns cannot meet the esthetic needs of modern consumers. Therefore, to make better inheritance of the traditional pattern and meet the needs of contemporary consumers, this article takes the caisson lotus pattern of Mogao Cave in the Tang dynasty as an example and first, using the theory of Kansei engineering to investigate the perceptual cognition of the young consumers aged 20–35 years old on the lotus pattern, then use SPSS 24.0 software to analyze the perceptual evaluation data, find the design element combination code corresponding to the perceptual vocabulary, and establish a mathematical model that can predict consumers’ emotional imagery of the lotus pattern of the caisson in the Tang dynasty. Through the verification of the model, the test results show that the model has a high degree of credibility; designers can use this model to quickly evaluate and redesign the lotus pattern to better meet the needs of modern consumers. At the same time, the method of this paper can also be applied to other design fields with user-centered concerns

Gamifying Cognitive Behavioral Therapy Techniques on Smartphones for Bangkok’s Millennials With Depressive Symptoms: Interdisciplinary Game Development

BackgroundThere is serious concern over the annual increase in depressive symptoms among millennials in Bangkok, Thailand. Their daily routine revolves around the use of their smartphones for work and leisure. Although accessibility to mental health care is expanding, it cannot keep up with the demand for mental health treatment. Outside Thailand, multiple projects and studies have attempted to merge gamification mechanisms and cognitive behavioral therapy (CBT) to create mobile health intervention apps and serious games with positive feedback. This presents an opportunity to explore the same approach in Thailand. ObjectiveThis study investigated the development process of gamifying CBT techniques to support game mechanics in a visual narrative serious game, BlueLine. The primary target of this research is Bangkok’s millennials. In the game, players play as Blue, a Bangkok millennial who struggles to live through societal norms that influence his digital life and relationships. Through in-game scenarios, players will learn and understand how to lessen the impact of depressive symptoms via gamified interactions on their smartphones. MethodsFirst, this paper follows each development step of solidifying BlueLine’s game structure by integrating the Activating Events, Beliefs, Consequences, Disputation of Beliefs and Effective New Approaches (ABCDE) model and narrative in games. Second, the approach to select CBT and related therapeutic elements for gamification is based on suitability to the game structure. Throughout the process, CBT experts in Thailand have reviewed these scenarios. The approach forms the base of the player’s interactions throughout the scenarios in BlueLine, broken down into 4 types of gamified mechanisms: narrative, verbal interactions, physical interactions, and social media interactions. ResultsWith the game structure based on the ABCDE model, BlueLine scenarios implement gamified mechanisms in conjunction with the following CBT and related therapeutic elements: behavioral activation, self-monitoring, interpersonal skills, positive psychology, relaxation and mindful activities, and problem-solving. In each scenario, players guide Blue to overcome his triggered dysfunctional beliefs. During this process, players can learn and understand how to lessen the impact of depressive symptoms through gamified interactions. ConclusionsThis paper presents the development process of gamifying CBT and related therapeutic techniques in BlueLine game scenarios. A scenario can harbor multiple techniques, including behavioral activation, self-monitoring, interpersonal skills, positive psychology, relaxation and mindful activities, and problem-solving. BlueLine’s game structure does not limit the fact that the same combination of CBT elements ties each gamified mechanism