@article {387,
	title = {High points recognition method of scraped surface based on background Subtraction},
	journal = {Journal of Digital Information Management},
	volume = {11},
	year = {2013},
	note = {Export Date: 10 July 2014},
	month = {2013},
	pages = {115 - 119},
	abstract = {Using computer vision library OpenCV, a method of automatic recognition high points of scraped workpiece surface is presented. The image is dealt with by background subtraction, Median filtering, morphological processing, image negates, contour finding and drawing contours. In order to accurately and efficiently recognize the high-point contours and mark its center positions, mathematical morphology and specific processing function were used.},
	keywords = {Background subtraction, Contour analysis, High points recognition, Image processing, Scrapping},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84879125674\&partnerID=40\&md5=593c3c4ffe380889b98f09f916fa0b8c},
	author = {Li, X. and Sun, L. and Liu, Y.}
}
@article {146,
	title = {Smoke detection for early fire-alarming system based on video processing},
	journal = {Journal of Digital Information Management},
	volume = {6},
	year = {2008},
	note = {Cited By (since 1996):3Export Date: 10 July 2014},
	month = {2008},
	pages = {196 - 202},
	abstract = {The paper presents a smoke-detection method for early fire-alarming system based on video processing. The basic strategy of smoke-pixel judgment is composed of two decision functions: a chromaticitybased decision function in static characteristic and a diffusion-based decision function in dynamic characteristic. The chromatic decision rule is deduced by grayish color of smoke and the dynamic decision rule is dependent on the diffusion attribute of smoke. To give an appropriate alarm, a fuzzy scheme is introduced to enhance the reliability of alarming by checking if the quantity of smoke extracted increases with the checking time. Experimental results show that the proposed method can provide an early alarm at a lower false alarm rate before the fire burns up, and hence is very attractive for the important places, social security, commercial applications, and so on.},
	keywords = {Fire-alarming, Fuzzy scheme, Image processing, Smoke detection, Smoke pixels},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-72449134788\&partnerID=40\&md5=1d71de0f8f9dde2103aa7102bd316fc3},
	author = {Wang, D.-J. and Chen, T.-H. and Yin, Y.-H. and Chen, T.-Y.}
}
@article {63,
	title = {Some issues in the art image database systems},
	journal = {Journal of Digital Information Management},
	volume = {4},
	year = {2006},
	note = {Cited By (since 1996):5Export Date: 10 July 2014},
	month = {2006},
	pages = {227 - 232},
	abstract = {In this paper we illustrate several aspects of art databases, such as: the spread of the multimedia art images; the main characteristics of art images; main art images search models; unique characteristics for art image retrieval; the importance of the sensory and semantic gaps. In addition, we present several interesting features of an art image database, such as: image indexing; feature extraction; analysis on various levels of precision; style classification. We stress color features and their base, painting analysis and painting styles. We study also which MPEG-7 descriptors are best for fine painting images retrieval. An experimental system is developed to see how these descriptors work on 900 art images from several remarkable art periods. On the base of our experiments some suggestions for improving the process of searching and analysis of fine art images are given.},
	keywords = {Art databases, Image processing, Image search and analysis, MPEG 7, Multimedia databases},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-33845946404\&partnerID=40\&md5=1b636067433b4b642b3499b0c6712dff},
	author = {Stanchev, P.L. and Green Jr., D. and Dimitrov, B.}
}
