Batik Image Classification Using Treeval and Treefit as Decision Tree Function in Optimizing Content Based Batik Image Retrieval

Rangkuti, Abdul Haris; Rasjid, Zulfany Erlisa; Santoso, Djunaidy

doi:10.1016/j.procs.2015.07.551

Cited by 34 publications

(23 citation statements)

References 11 publications

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“…Normalized central moments are defined by Equation (10). Based on the normalized moment, Hu [22] introduces seven invariants according to Equations (11), (12), (13), (14), (15), (16), and (17).…”

Section: Shape Feature Extractionmentioning

confidence: 99%

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Classification of Batik Lamongan Based on Features of Color, Texture and Shape

Sholihin¹

2018

kursor

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Section: Shape Feature Extractionmentioning

confidence: 99%

“…Rangkuti et al [10] in his research used texture and shape features. The texture feature used is Daubechies wavelet, while the shape feature used invariant moments.…”

Section: Introductionmentioning

confidence: 99%

Classification of Batik Lamongan Based on Features of Color, Texture and Shape

Sholihin¹

2018

kursor

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“…Whereas one of the weaknesses of the KNN is the need to determine the value of the parameter k (number of closest neighbors) [8]. Another research by [9], has been conducted by grayscale processing, binary and canny processes and the result of invariant moment's calculation and has been combinated using Canny detection to enhance result during Wavelet Transform implementation.…”

Section: Introductionmentioning

confidence: 99%

A Classification of Batik Lasem using Texture Feature Ecxtraction Based on K-Nearest Neighbor

Jatmoko

Sinaga

2019

JAIS

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In this study, batik has been modeled using the GLCM method which will produce features of energy, contrast, correlation, homogenity and entropy. Then these features are used as input for the classification process of training data and data testing using the K-NN method by using ecludean distance search. The next classification uses 5 features that provide information on energy values, contrast, correlation, homogeneity, and entropy. Of the two classifications, which comparison will produce the best accuracy. Training data and data testing were tested using the Recognition Rate calculation for system evaluation. The results of the study produced 66% recognition rate in 50 pieces of test data and 100 pieces of training data.

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“…The amount does not include a variety of local batik motif continues to grow [1]. Batik is a cultural heritage not because of the batik itself but because of the art in making the batik [2].…”

Section: Introductionmentioning

confidence: 99%

Ethnomathematics elements in Batik Bali using backpropagation method

Lestari

Irawan

Rahayu

et al. 2018

J. Phys.: Conf. Ser.

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Abstract. Batik is one of traditional arts that has been established by the UNESCO as Indonesia's cultural heritage. Batik has varieties and motifs, and each motifs has its own uniqueness but seems similar, that makes it difficult to identify. This study aims to develop an application that can identify typical batik Bali with etnomatematics elements on it. Etnomatematics is a study that shows relation between culture and mathematics concepts. Etnomatematics in Batik Bali is more to geometrical concept in line of strong Balinese culture element. The identification process is use backpropagation method. Steps of backpropagation methods are image processing (including scalling and tresholding image process). Next step is insert the processed image to an artificial neural network. This study resulted an accuracy of identification of batik Bali that has Etnomatematics elements on it.

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Batik Image Classification Using Treeval and Treefit as Decision Tree Function in Optimizing Content Based Batik Image Retrieval

Cited by 34 publications

References 11 publications

Classification of Batik Lamongan Based on Features of Color, Texture and Shape

Classification of Batik Lamongan Based on Features of Color, Texture and Shape

A Classification of Batik Lasem using Texture Feature Ecxtraction Based on K-Nearest Neighbor

Ethnomathematics elements in Batik Bali using backpropagation method

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