The segmentation of interesting objects within the image is an important process to provide information for other procedures. The major problem of image segmentation is the number of objects suitable for classifying objects. This research aims to present on Image Segmentation using Fuzzy C- Mean Via Image Filter. The objects will be split up using their object intensities. The proposed method can classify several objects at the same process. Therefore it saves time to process less than other existing methods. The proposed method is consisted of three steps: noise reduction histogram smoothing and object classification. The results of the proposed method found that objects are automatically classified by Fuzzy C-Mean. Moreover the algorithm that successfully calculates the proper number of segmentations

This report aims to present the random noise elimination of image based on edge preservation. This solution is a pixel processing using 29 templates. Each template consists of the considered pixel and its neighbor pixels. To eliminate noises the smoothing process replaces the new pixel intensity into the same considered processing pixel by the mean intensity of neighbor pixels. The condition of the template selection is based on the minimum variance of templates. As the experimental results this solution brings the peak signal-to-noise ratio (PSNR) higher than Gaussian filter Tomita’s marks Fukuda’s marks and Nagao’s marks and also gains contrast difference.

This reseach presents development of engineering education about automation engineer. The objectives of develop education technology automatic control systems. The development and pilot institutions or company associated with the agency so that it can compete with companies in the ASEAN countries. In the design research and development training kit to support and use in teaching and learning control liquid level like an industry as the reality of the industry. The trainner could be applied to the advanced control theory for experiment in teaching or training in class room similary industry personnel. The hardware is compatible with existing standards. It is increase the capacity of existing courses such as a course to learn basic control system consists of a sensor industry around the outside parmerter. The sensor could be real measured and simulation from plant model. The student can control the virtual experiments. Controller could be learning such as PLC Microcontroller and computers. The experiments determine relation of correlated response signal ON-OFF and PID by adjust Gain control systems that have tenor as same as control theory which describes the response of the control. The experimental results of this the research collected in the operating room. The ability to control the system to could be doand meet the taget and follow by objective