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  • International Journal Advanced Network Monitoring Controls




Geometrical deviation in intelligent metrology system is an important factor in precision engineering. Estimating the deviation and associated uncertainty in straightness feature remains a necessary requirement to ensure highly accurate metrology method especially in CNC-CMM measurement. Optimization in straightness measurement using soft algorithm techniques is a widely encountered solution in coordinate metrology. In this work, straightness deviation has been measured precisely in 2D and in

Salah H.R. Ali, M.A.H. Khalafalla, Ihab H. Naeim, Sarwat Z.A. Zahwi

International Journal on Smart Sensing and Intelligent Systems, Volume 9 , ISSUE 2, 397–418

Article | 05-September-2013

Research of Image Pre-processing Algorithm Based on FPGA

How to design a low-cost , reliable and real-time target recognition system with large amount of data has become a hot topic in the area of image processing .However, Edge detection has played an important role in target recognition system. The threshold of traditional canny edge detection algorithm must be setting by human, and has a large number of calculations. In order to overcome the shortcomings of the traditional Canny algorithm, proposing an adaptive threshold edge detection algorithm

Yang Yongjin, Zhou Xinmei, Xiang Zhongfan

International Journal on Smart Sensing and Intelligent Systems, Volume 6 , ISSUE 4, 1499–1515

Article | 12-April-2018

New Method of Image Smoothing and Edge Detection Based on Nonlinear Ambiguity Function

With the continuous development of the national economy and science and technology, the scope of the application of images is constantly expanding. The image has many uncertainties, and the improvement of this feature is often blurred and can not be accurately calibrated, which results in complex and diverse processing techniques. Image smoothing and edge detection are very important feature technologies in image processing, and they also the research focus in the field of image processing

Yanhong Jin

International Journal of Advanced Network, Monitoring and Controls, Volume 2 , ISSUE 3, 138–140

Article | 30-November-2018

The New Method of Sea-sky Line Detection Based on Mathematical Morphology

has the natural parallel structure. It realizes the parallel of morphological analysis and process, which greatly improves the speed of image analysis and process. At present, the mathematical morphology has been widely used in the fields of pattern recognition, machine vision, microscopic image analysis, medical image processing, computing and data processing and so on. It has obvious advantages in image processing problems such as filtering noise reduction, image enhancement, edge detection

Zhang Wenqi, Bai Wanmin, Yu Jun, Gao Shouyi

International Journal of Advanced Network, Monitoring and Controls, Volume 3 , ISSUE 3, 85–92

Research Article | 01-September-2017


values. In order to detect the obstacles, Sobel edge detection was implemented. The edge detection image was compared and substituted with the depth map which is resulting edge-depth map. The edge-depth map was divided into 25 grids (5 grids horizontal and 5 grids vertical). Finally, the minimum depth of detected obstacles for each grid was calculated. This process was resulting in a grid-edge-depth map (GED map). The proposal has been tested with a mobile robot in 5x3 meters living environment

Budi Rahmani, Agus Harjoko, Tri Kuntoro Priyambodo

International Journal on Smart Sensing and Intelligent Systems, Volume 10 , ISSUE 3, 551–566

research-article | 30-November-2019

Indonesian traffic sign detection based on Haar-PHOG features and SVM classification

improve accuracy, blocks in HOG are made into intersections to allow duplication of processes in the cell. This increases computing speed. Meanwhile, PHOG feature extraction improves HOG in terms of cell size resolution based on level or depth. PHOG uses Canny edge detection for sharper object edges. However, edges of objects other than traffic signs also become sharper, resulting in a significant decrease in the accuracy. Therefore, the Haar–PHOG feature method is proposed to improve the accuracy of

Aris Sugiharto, Agus Harjoko, Suharto Suharto

International Journal on Smart Sensing and Intelligent Systems, Volume 13 , ISSUE 1, 1–15

Article | 01-March-2016


to improve target tracking performance in dynamic target track system, this paper propose the processing method of positive and negative difference image to extract target information; research target image preprocessing algorithm, the separation and segmentation processing algorithm of target and background, target edge detection and extraction based on the collected images; use Laplace operator, Canny operator. Gauss-Laplace operator to gain target information and improved recognition target

Liping Lu, Jinfang Wang

International Journal on Smart Sensing and Intelligent Systems, Volume 9 , ISSUE 1, 353–376

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