Auto-Generation System Based on Fractal Geometry for Batik Pattern Design

Tian, Guidong; Yuan, Qingni; Hu, Tao; Shi, Yi Min

doi:10.3390/app9112383

Cited by 10 publications

(8 citation statements)

References 20 publications

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“…Nevertheless, a computer-aided design was not employed in this work to avoid overloading them with too many new things at once. Computer programs were previously proven successful in batik designs [17][18][19][20], but the local batik artisans were not keen to use them. The gradual incorporation of new techniques into traditional craftsmanship is an appropriate way to transform batik into modern fashion without losing its local identity and charm.…”

Section: -Discussionmentioning

confidence: 99%

“…In addition to transferring its knowledge to younger generations to ensure its sustainability, new techniques have been proposed to facilitate batik manufacturing processes. Laitupa et al demonstrated the computer-based creation of new batik motifs [17], whereas Tian et al developed automatic batik flower patterns based on fractal geometry [18]. For pattern recognition, neural networks and deep learning have been implemented on batik fabrics [19,20].…”

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confidence: 99%

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Modernizing Batik Clothes for Community Enterprises Using Creative Design and Colorimetry

Kaewareelap

Sirisathitkul

2021

Emerg Sci J

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The objective of this study was to modernize batik clothes, a cultural heritage of Southeast Asia, through creative design, color characterization, and collection presentation. Three community enterprises from the southern regions of Thailand participated in designing batik motifs based on their local identities. The pattern of the first manufacturer group was influenced by stones and ancient beads of vivid orange and blue shades. The second community was inspired by the nearby sea, resulting in ocean blue, white, and emerald green colors on batik fabrics. Floras in the south of Thailand dominated the design of the final manufacturer group. Smartphone colorimetry was then used to characterize the batik fabrics. It was demonstrated that this proposed color quantification was not confined to the laboratory, and could easily be carried out by vendors or customers. The collaboration encouraged local batik artisans to use a variety of inspirations, new tools, as well as professional design and production methods. To introduce modernized batik to the public, collections of these newly designed clothes were displayed in a fashion show staged under the theme “Southern Chic.” The presentation of Thai batik clothes in seasonal collections highlighted the transformations of local manufacturers and products with increasing appeal to younger people. In addition to conservation and commercial advantages, the modernized approach is accessible and attractive for education purposes, engaging students in cultural heritage. Doi: 10.28991/esj-2021-01319 Full Text: PDF

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Section: -Discussionmentioning

confidence: 99%

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confidence: 99%

Modernizing Batik Clothes for Community Enterprises Using Creative Design and Colorimetry

Kaewareelap

Sirisathitkul

2021

Emerg Sci J

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“…This command can be abbreviated as FFF-FFF-FF-FF + F-F. The mathematical formula for forming a graph of interest in the Cartesian coordinates for the x and y axes can be written as follows (Tian, Yuan, Hu, & Shi, 2019)::…”

Section: B Methodsmentioning

confidence: 99%

Implementation of Art and Technology in Batik Purwakarta

Ratnadewi

Pandanwangi

Prijono

2020

JTAM

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Indonesia is dominated by cities that have a history of batik, but Purwakarta does not have a history of batik. But thanks to the persistence of policy holders, Purwakarta currently has batik obtained by elevating the local wisdom of the city of Purwakarta. After surveys and interviews, several batik motifs were designed. The batik motif shape, size and position will be studied which will formulate mathematical equations based on basic geometric shapes such as circles, arches, lines, rectangles, which are implemented into the form of computer graphics (turtles) graph and explained in the form of an algorithm (pseudocode) computer programming to make autogenerative motifs on Purwakarta batik that did not exist before. Batik design is inspired by food and tourist locations which form the basis of the formation of typical Purwakarta batik motifs. Jatiluhur Dam, Datura Metel L. Flower, Sate Maranggi, Mangosteen Fruit is a local wisdom owned by the city of Purwakarta. The results of the morning glory batik design and Jatiluhur dew through mathematical and turtle charts are then formulated so that the batik motif design can be saved by documenting the mathematical equation or the pseudocode of the batik motif. With the results of digital motifs, the process of repeating patterns, duplicating and storing data becomes easier.

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“…Studies on Batik have been previously conducted by numerous researchers, especially in the field of image generation. One of the studies on Batik was conducted by Tian [8], produced Batik automatically by simply entering a few parameters using the fractal geometry method. In 2020, research on Batik was also conducted by Purba Daru Kusuma to produce Madura-style Batik, implemented on the website by utilizing the sine wave model method [9].…”

Section: Introductionmentioning

confidence: 99%

Generation of Batik Patterns Using Generative Adversarial Network with Content Loss Weighting

Minarno¹,

Antoko²,

Azhar³

2023

Int. J. Adv. Sci. Eng. Inf. Technol.

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Every craftsman who draws Batik can also not necessarily draw various types of Batik. On the other hand, it takes a long time ranging from weeks to months, to make Batik. Image generation is regarded as an essential part of the field of computer vision. One of the popular methods includes the Generative Adversarial Network, commonly implemented to generate a new data set from an existing one. One model of the Generative Adversarial Network is BatikGAN SL generating batik images by inserting the two Batik patterns to produce a new Batik image. Currently, the generated Batik image does not maintain the input of the Batik pattern. Therefore, this study proposes a GAN model of BatikGAN SL, with the addition of a content loss function using hyperparameters to weight the content loss function. The content loss function is added from the Neural Transfer Style method. Previously, the style loss function in this method has been implemented in BatikGAN SL, and the dataset consists of Batik patches (326 images) and real Batik (163 images). This paper compares the BatikGAN SL model from previous studies with the BatikGAN SL model by implementing hyperparameters on the content loss function. The evaluation is conducted with FID, containing FID Local and FID Global. The results obtained in this study include a collection of Batik images, test evaluation value of 42 on FID Global and 16 on FID Local. These results are obtained by implementing the content loss function with a weight value of 1.

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Auto-Generation System Based on Fractal Geometry for Batik Pattern Design

Cited by 10 publications

References 20 publications

Modernizing Batik Clothes for Community Enterprises Using Creative Design and Colorimetry

Modernizing Batik Clothes for Community Enterprises Using Creative Design and Colorimetry

Implementation of Art and Technology in Batik Purwakarta

Generation of Batik Patterns Using Generative Adversarial Network with Content Loss Weighting

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