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.

The image enhancement process of a digital image is a part of digital signal processing which it plays an important role in some industrial segments for instance object classification or bio-identification satellite exploration or aerial images robot vision cancer treatment etc. These image applications are necessary to consume many resources in physical hardware and computer programming including the intelligent algorithm development of complexly advanced processing in order to enhance digital images – as well as be easy to analyse by humans. This research is aimed to present on Contrast Enhancement using Bi-Histogram Equalization via Two Dimensional Discrete Wavelet Transform (BHE2DWT) in order to compose the coefficient wavelet from other signals. At the end of the process information on the approximation band from DWT will be divided into two sub-histograms and then histograms will be independently equalized. After that resulting histograms will be decomposed by IDWT. Resulting images will be not only more displaying in high contrast than their original images but also preserve the absolute mean brightness error (AMBE) to close their original images.

Most inhabitants of Kaeng Pra Lom village Sai York Kanchanaburi province are royal through project of Princess Maha Chakri Sirindhom Rattanaraj Suda have an occupation of agriculture especially cassava com banana turmeric and other. Unfortunately a lot of some part of turmeric will be waste. As the result of only of turmeric will be waste. As the results of only some part of turmeric can be used and a lot of other will be destroyed. The objectives of this research are study of the properties of the fiber from turmeric waste design an Eco Designproduct transfer of technology to produce a prototype community and prepare a business plan. The fiber of turmeric stem was separated by soaking with solution of sodium hydroxide and economic fiber will be modifYing by using high performance machine to create an Eco Designproducts home decorate or using as a material for a factory.

This paper presents how to design and build electrical protection equipment to apply for a wind turbine generator system which is modeled on low voltage 3 phase 380 volts system. This electrical equipment acts as a switch to open-close an electrical circuit to prevent an electrical system as well as equipments or devices in the system. It will open the circuit quickly and decrease the contact arcing of a circuit breaker. The implementation of power electronic properties is used instead of mechanical parts which is called “Solid-State Beaker”. This article presents a method of solid-state breaker simulation on the mathematical analysis via MATLAB/ Simulink program in the cases of fault occurring in an electrical system. The simulation is used as a comparison when it is brought into the system. The fault voltage is detected by RMS Method which is implemented in LAB View program. The detection signal will be sent to the solid-state breaker and order it to cut off all three lines simultaneously to confirm the efficient running of solid- state breaker. But this paper has not yet considered the effect of Harmonic.