Thomas Sri Widodo

Learn More
Two dimensional DCT takes important role in JPEG image compression. Architecture and VHDL design of 2-D DCT, combined with quantization and zig-zag arrangement, is described in this paper. The architecture is used in JPEG image compression. DCT calculation used in this paper is made using scaled DCT. The output of DCT module needs to be multiplied with(More)
In this paper, a modified fuzzy c-means (FCM) clustering for medical image segmentation is presented. A conventional FCM algorithm does not fully utilize the spatial information in the image. In this research, we use a FCM algorithm that incorporates spatial information into the membership function for clustering. The spatial function is the summation of(More)
classification of randomized thermograms tabulated by the first order statistics method including the mean values, skewness values, entropy values, kurtosis values, and variance values with the thermal camera of Fluke as a tool for capturing images, after the mathematical method of measurement. Five statistical features combined with principal component(More)
In this paper, an optimized fuzzy logic method for Magnetic Resonance Imaging (MRI) brain images segmentation is presented. The method is a technique based on a modified fuzzy c-means (FCM) clustering algorithm. The FCM algorithm that incorporates spatial information into the membership function is used for clustering, while a conventional FCM algorithm(More)
In this paper, we report our experimentation to enhance the quality of the thermal images acquired with ordinary digital camera, after replacing the infrared stopping filter with visual stopping one. The Red, Green, Blue histograms indicate very low intensities captured by the respective sensors. Histogram stretching increased the hot objects' and the(More)
Received Jul 27, 2012 Revised Aug 20, 2012 Accepted Sep 5, 2012 Brain Computer Interface (BCI) refers to a system designed to translate the brain signal in controlling a computer application. The most widely used brain signal is electroencephalograph (EEG) for using the non-invasive method, and having a quite good resolution and relatively affordable(More)
In this paper, an experimentation to enhance the visibility of hot objects in a thermal image acquired with ordinary digital camera is reported, after the applications of lowpass and median filters to suppress the distracting granular noises. The common thresholding and slicing techniques were used on the histogram at different gray levels, followed by a(More)
In this paper, we report our experimentation to enhance the visibility of hot object in a thermal image acquired with ordinary consumer digital camera, after the applications of contrast stretching. The moving average methods were used to suppress granular noises. Finally surface fitting and isotherm contours were made to estimate the fine temperature(More)
In this paper an optimized fuzzy logic based segmentation for abnormal MRI brain images analysis is presented. A conventional fuzzy c-means (FCM) technique does not use the spatial information in the image. In this research, we use a FCM algorithm that incorporates spatial information into the membership function for clustering. The FCM algorithm that(More)
In this paper, the wavelet method used for detecting an electrocardiogram signal is the detection of a new wavelet. Specific form of the electrocardiogram signal which gives angle, amplitude, phase and certain frequency is used as the basis of new wavelet formation. Algorithm DeGePVC is a new algorithm to detect Premature Ventricular Contraction wave(More)