RESULT CONCLUSION ICTS2005 The Proceeding

Tomographic Imaging Using Infra Red Sensors – Sallehuddin Ibrahim Md. Amri Md. Yunus ISSN 1858-1633 2005 ICTS 19 Figure 3. Gravity fvlow rig Figure 4. The regression line of sensors output versus measured mass flow rates Figure 5a. Concentration profile at a flow rate of 27 gs Figure 5b. Concentration profile at a flow rate of 49 gs Figure 5c. Concentration profile at a flow rate of 71 gs

4. RESULT

Various experiments were carried out using various algorithms and at various flow rates. The regression graph is shown in Figure 4. The concentration profiles at various flow rates are shown in Figures 5a to 5c. Figure 4 shows that the output from upstream sensors have similar values to that of the downstream sensors and the sensors output is proportional to the mass flow rates. Figures 5a to 5c show that the infra red tomographic system is able to locate the position of the beads inside the flow pipe. At higher flow rates, the flow rig released more plastic beads that at lower flow rates. As such more pixels are occupied in Figures 5b and 5c compared to Figure 5a.

5. CONCLUSION

A tomographic imaging system using infra red sensors has been designed. The system is capable of producing tomographic images for two-phase flow. The spatial resolution and measurement accuracy can be enhanced by adding more sensors. However, there must be a compromise between the spatial resolution, accuracy and real-time capability of the system. The system has the potential of being applied in various process industries. REFERENCES [1] S. Ibrahim and M. A. Md. Yunus , Preliminary Result for Infrared Tomography, Elektrika., 6 1, 2004, 1 – 4. [2] S. McKee, T. Dyakowski, R.A. Williams, T.A. Bell and T. Allen,Solids flow imaging and attrition studies in a pneumatic conveyor, Powder Technology, 82, 1995, 105 – 113. [3] F. Dickin, Electrical resistance tomography for process applications, Meas. Sci. Technol., 73, 1996, 247-260. Pipeline Tank Hopper Information and Communication Technology Seminar, Vol. 1 No. 1, August 2005 ISSN 1858-1633 2005 ICTS 20 MAMMOGRAPHIC DENSITY CLASSIFICATION USING MULTIRESOLUTION HISTOGRAM TECHNIQUE Izzati Muhimmah 1 , Erika R.E. Denton 2 , Reyer Zwiggelaar 3 1 Jurusan Teknik Informatika, FTI, Universitas Islam Indonesia, Yogyakarta 55584, Indonesia, 2 Department of Breast Imaging, Norwich and Norfolk University Hospital, Norwich NR2 7UY, UK, 3 Department of Computer Science, University of Wales Aberystwyth, Aberystwyth SY23 1LB, UK ABSTRACT Mammographic density is known to be an important indicator of breast cancer risk. Some quantitative estimation approaches have been developed and among of them based on histogram measurement. We implemented multi-resolution histogram technique to classify density of mammographic images. The results showed an agreement of 38,33 78:33 when minor classification was allowed compare to an expert radiologist rating using SCC given in EPIC database. This agreement is lower than the existing methods, and some limitations are discussed. Keywords : density classification, mammographic, breast cancer, medical imaging, multi-resolution histogram

1. INTRODUCTION