My paper in the Springer LNCS

My paper entitled "Quasi-Gaussian DCT Filter for Speckle Reduction of Ultrasound Images" has been accepted for publishing in the Springer-Verlag Lecture Notes of Computer Science series.

Abstract. In recent time, ultrasound imaging is a popular modality for various medical applications. The presence of speckle noise affects difficulties on features extraction and quantitative measurement of ultrasound images. This paper proposes a new method to suppress the speckle noise while attempting to preserve the image content using combination of Gaussian filter and discrete cosine transform (DCT) approach. The proposed method, called quasi-Gaussian
DCT (QGDCT) filter, is a quasi Gaussian filter in which its coefficients are derived from a selected 2-dimensional cosine basis function. The Gaussian approach is used to suppress speckle noise whereas the selected DCT approach is intended to preserve the image content. The filter will be implemented on the synthetic speckle images and the clinical echocardiograph ultrasound images.
To evaluate the effectiveness of the filter, several quantitative measurements such as mean square error, peak signal to noise ration, speckle suppression index and speckle statistical analysis, are computed and analyzed. In comparison with established filters, results obtained confirmed the effectiveness of QGDCT filter in suppressing speckle noise and preserving the image content.

Keywords: Gaussian, DCT, speckle, ultrasound image, echocardiography

Lagi... MSc/PhD Studentship di UKM

Grup kami, Vision & Robotics Research Group (ViROB) - Universiti Kebangsaan Malaysia, memerlukan seorang calon mahasiswa MSc/PhD dengan topik:
"Vision based smart crowd surveillance system"

Supervisor: Prof Aini Hussain

Kualifikasi:
- S1/S2 Teknik Elektro/Computer Science
- Punya background image processing
- Mahir Matlab & C++
- Bekerja keras & bisa bekerja sama dlm tim

Bila berminat dan memenuhi kualifikasi, silahkan kirim CV dan
transkrip nilai S1/S2 ke masimet at gmail dot com, sebelum 27
February 2009.

2009 New Year Prize

One paper "Cardio-Spatial Profile Extraction using Optical Flow of Echocardiographic Images" was submitted to The 2009 IAENG International Conference on Imaging Engineering, Hong Kong, 18-20 March, 2009.

Special thanks to Dr Azrin for advance editing on the paper.

Abstract:
Detection of cardiac movement is very important subject on cardiac image analysis. Cardiologist needs an accurate motion estimation to diagnose the abnormality of cardiac. In this paper, we present the utilization of optical flow technique to estimate the myocardial motion. Then the computed motion vectors are used to provide the cardiac profile, such as its displacement and direction. The proposed implementation provides real-time movement profiles of cardiac with a precision up to 0.11 pixel / 22.50° for their displacements.

Keywords: optical flow, myocardial movement, cardiac profile, echocardiography

Initial result in Cardiac Movement Analysis

I finalized writing and submitting a paper entitled "Cardiac Motion Estimation using Optical Flow Estimation Technique" to the 5th IEEE International COnference on Science of Electronics, Technologies of Information & Telecommunication (SETIT 2009)

Abstract: The application of image processing technique for cardiac motion analysis has been an active research in the past decade. In term of movement analysis, optical flow is the most popular technique that has been used by researchers. This paper describes the implementation of pyramidal Lukas-Kanade algorithm to compute the optical flow of cardiac motion which involves manual preprocessing of image enhancement followed by Shi-Tomasi feature tracking implementation and testing the algorithm with both synthetic and clinical cardiac images. Based on our preliminary result, the proposed implementation looks promising since the computed motion vector can actually reveal a true direction of cardiac motion"

Keywords: cardiac motion detection, pyramidal lukas kanade, shi-tomasi

PhD Studentship di Univ Kebangsaan Malaysia

Grup kami, Vision & Robotics Research Group (ViROB) - Universiti Kebangsaan Malaysia, memerlukan dua orang calon mahasiswa PhD dengan topik:
- Vision based computer aided cardiac diagnosis system
- Vision based smart crowd surveillance system

Supervisor: Prof Marzuki, Prof Aini, Dr Azrin

Kualifikasi:
- S1/S2 Teknik Elektro/Computer Science
- Punya background image processing
- Mahir Matlab & C++
- Bisa bekerja sama dlm team

Bila berminat dan memenuhi kualifikasi, silahkan kirim CV dan
transkrip nilai S1/S2 ke met_riyadi at yahoo dot com, sebelum 30
September 2008.

Kandidat yg terpilih akan diminta segera register ke UKM secara resmi
dan aktif sebelum Nopember 2008.