TY - GEN
T1 - Image block matching based on GLCM (gray level co-occurence matrix) texture feature on grayscale image auto coloring
AU - Sipan, Muhammad
AU - Supeno Mardi Susiki, N.
AU - Yuniarno, Eko Mulyanto
N1 - Publisher Copyright:
©/2017/IEEE.
PY - 2017/11/28
Y1 - 2017/11/28
N2 - Colorization is a coloring process in the image or video, which is done to provide detail and clarity to the image or video. This study used image gray scale to be colored by matching both color image pixel blocks and grayscale images based on GLCM texture feature (gray level co-occurance matrix) using a sum of absolute difference. Color image blocks are used as templates and grayscale image blocks as targets, searching for similarities between two image blocks by subtracting both GLCM texture feature values and comparing the target of GLCM value with the template value to obtain the smallest or near-zero value in the color block. The smallest in the color image block is a pair of grayscale image blocks, as both have similar features of the GLCM texture. Further, color of color image blocks are transferred to the grayscale block in accordance with the existing resemblance (pair), until all areas that have similarity are colored.
AB - Colorization is a coloring process in the image or video, which is done to provide detail and clarity to the image or video. This study used image gray scale to be colored by matching both color image pixel blocks and grayscale images based on GLCM texture feature (gray level co-occurance matrix) using a sum of absolute difference. Color image blocks are used as templates and grayscale image blocks as targets, searching for similarities between two image blocks by subtracting both GLCM texture feature values and comparing the target of GLCM value with the template value to obtain the smallest or near-zero value in the color block. The smallest in the color image block is a pair of grayscale image blocks, as both have similar features of the GLCM texture. Further, color of color image blocks are transferred to the grayscale block in accordance with the existing resemblance (pair), until all areas that have similarity are colored.
KW - Colorize
KW - Grayscale
KW - Sum of absolute different (SAD)
KW - Texture
UR - http://www.scopus.com/inward/record.url?scp=85043584307&partnerID=8YFLogxK
U2 - 10.1109/ISITIA.2017.8124099
DO - 10.1109/ISITIA.2017.8124099
M3 - Conference contribution
AN - SCOPUS:85043584307
T3 - 2017 International Seminar on Intelligent Technology and Its Application: Strengthening the Link Between University Research and Industry to Support ASEAN Energy Sector, ISITIA 2017 - Proceeding
SP - 302
EP - 306
BT - 2017 International Seminar on Intelligent Technology and Its Application
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 18th International Seminar on Intelligent Technology and Its Application, ISITIA 2017
Y2 - 28 August 2017 through 29 August 2017
ER -