Rahmita Wirza | UPM - Universiti Putra Malaysia (original) (raw)

Papers by Rahmita Wirza

IJCSNS, 2009

Human face detection is preliminary required step of face recognition systems as well as a very i... more Human face detection is preliminary required step of face recognition systems as well as a very important task in many applications, such as security access control systems, video surveillance, human computer interface and image database management. This paper intends to combine Viola and Jones face detection method with a color-based method to propose an improved face detection method. Experimental results show that our method efficiently decreased false positive rate and subsequently increased accuracy of the face detection system especially in complex background images. Also our proposed method considerably increased face detection speed.

International Journal of Integrated Engineering, Jul 31, 2021

Proceedings of the Annual International Conference on Infocomm Technologies in Competitive Strategies, 2010

Journal of Healthcare Engineering, 2020

The medical system is facing the transformations with augmentation in the use of medical informat... more The medical system is facing the transformations with augmentation in the use of medical information systems, electronic records, smart, wearable devices, and handheld. The central nervous system function is to control the activities of the mind and the human body. Modern speedy development in medical and computational growth in the field of the central nervous system enables practitioners and researchers to extract and visualize insight from these systems. The function of augmented reality is to incorporate virtual and real objects, interactively running in a real-time and real environment. The role of augmented reality in the central nervous system becomes a thought-provoking task. Gesture interaction approach-based augmented reality in the central nervous system has enormous impending for reducing the care cost, quality refining of care, and waste and error reducing. To make this process smooth, it would be effective to present a comprehensive study report of the available state-...

Journal of IT in Asia, 2016

Interest on automated genre classification systems is growing following the increase in the numbe... more Interest on automated genre classification systems is growing following the increase in the number of musical digital data collections. Many of these systems have been researched and developed to classify Western musical genres such as pop, rock or classical. However, adapting these systems for the classification of Traditional Malay Musical (TMM) genres which includes Gamelan, Inang and Zapin, is difficult due to the differences in musical structures and modes. This study investigates the effects of various factors and audio feature set combinations towards the classification of TMM genres. Results from experiments conducted in several phases show that factors such as dataset size, track length and location¸ together with various combinations of audio feature sets comprising Short Time Fourier Transform (STFT), Mel-Frequency Cepstral Coefficients (MFCCs) and Beat Features affect classification. Based on parameters optimized for TMM genres, classification performances were evalu...

Advanced Science Letters, 2016

The Internet Journal of Medical Technology, 2004

3D microscopy imaging is important for understanding complex biological assemblies. Computers and... more 3D microscopy imaging is important for understanding complex biological assemblies. Computers and digital image acquisition systems have made possible the 3D visualization of images obtained from optical microscopes. This paper discussed a morphological approach for 3D blood cell visualization. The 3D plotted image is obtained from 2D image by combining 2D image space with the intensity value presented as third axis. 2D image detection techniques are commonly apply for blood cell analysis on image taken from microscopy or scanner sample which normally could be affected by noise. In order to enhance the detection of blood cell for 2D image and to obtain the clearest view of the blood cell, 3D image detection, which is more flexible and accurate, is proposed. This approach helps to obtain a clear image for disease analysis. A color image taken from microscopy or scanner has to gone through such image analysis using intensity, and edge operator to detect the blood cell disease, before 3D visualization can be done.

Journal of Telecommunication, Electronic and Computer Engineering, 2016

Age Estimation Components, i.e. the extraction and localization of facial features landmark point... more Age Estimation Components, i.e. the extraction and localization of facial features landmark points, which represent ageing pattern are very important steps in the age estimation process. A good age estimation technique will contain enough variation of landmark points and consider all important points to express the full complexity of the problem. Major progress has been achieved recently in the area of facial landmark localization and extraction method for age estimation. Moreover, measuring facial features landmark points for age classification algorithm has become an interesting subject when dealing with automatic localization process. However, the difficulties to measure the points automatically divert to wrong result if the method unable to locate exact facial features landmark points properly at critical area with complex appearance. Such as measuring points at upper region of face when dealing with individuals with no hair or hair that covered part of the forehead. Therefore, ...

2014 International Conference on Computer Assisted System in Health, 2014

Augmented reality is an area that requires the participants to be fully immersed in the environme... more Augmented reality is an area that requires the participants to be fully immersed in the environment. As such, the appearance of the object must be as close as possible with the real object, which is really challenging. In achieving a realistic model, a camera capture images are mapped onto the model. The main phase in fulfilling these criteria are seamless image registration and ensuring the mapping of the images onto the model. The virtual model, in this case, the virtual heart, is going to be created by capturing multiple images of the real heart from different angles. The images are then going to be stitched before they can be mapped onto the 3D model of a heart. A preliminary experiment on the texture mapping is implemented using two well-known methods, Scale Invariant Feature Transform and Speeded-up Robust Feature.

Reviews on Environmental Health, 2020

An aquaponic system is considered to be a sustainable food production solution that follows circu... more An aquaponic system is considered to be a sustainable food production solution that follows circular economy principles and the biomimetic natural system to reduce input and waste. It is the combination of two mainly productive systems, a recirculating aquaculture system consists of fish and crustaceans farmed in a tank and hydroponic cultivation consists of vegetable cultured in medium other than soil. Both these systems are well-known around the globe by their performance of production, quality, and verified food safety. An aquaponic system is an industrious mechanism which incorporates impeccably with sustainable growth of intensive agriculture. The existing literature regarding the aquaponic production covers different species of vegetables and fish, a variety of layouts of system, and climate conditions. However, there is a lack of knowledge that can systematically present the existing state-of-the-artwork in a systematic manner. So to overcome this limitation, the proposed res...

Indonesian Journal of Electrical Engineering and Computer Science

Three-dimensional (3D) geometric model shapes blending method can create various in-between model... more Three-dimensional (3D) geometric model shapes blending method can create various in-between models from two inputs of models shapes. Though, many blended shapes are implausible due to different inputs of model type, inappropriate matching-parts, improper parts-segmentation, and non-tally number of segmentation parts. are crucial and should be taken into account. The objective of this paper is to study the strengths and weaknesses of some prominent shapes blending methods and the 3D reconstruction methods. An interpolated shape blending program using the Laplacian-based contraction and Slinky-based segmentation method is developed to illustrate the critical problems arise in the shape blending process. Output results are to be compared with some prominent existing methods and one will observe the potential research direction in the blending research work

The Internet Journal of Radiology, 2004

Segmentation of T1 and T2 weighted axial sliced section involves several stages, which are Image ... more Segmentation of T1 and T2 weighted axial sliced section involves several stages, which are Image Enhancement, Feature Extraction and Classification. All the stages are not always necessary and sometimes segmentation can some times lead directly to specific diagnoses. Image enhancement is capable of improving the image appearance, (e.g., removal of noise, contrast stretching, etc) feature extraction emphasizes regions of interest, (e.g., emphasizing borders) segmentation separates emphasized structures from background, and classification recognizes/classifies the diagnosis. Segmentation of medical imaging is a challenging task due to the complexity of the images, as well as to the absence of models of the anatomy that fully capture the possible deformations in each structure. Brain is a particularly complex structure, and its segmentation is an important step for derivation of computerized anatomical MR image, as well as pre-and intra-operative guidance for therapeutic intervention. In this study we will evaluate the intensity of two MR sequences known as T1 and T2 weighted images in axial sliced section. Intensity group clustering algorithms is proposed to achieve further diagnosis for brain MR images, which has been hardly studied. This subjective study is to evaluate the clustering group intensity in order to obtain the best diagnosis as well as better detection for the suspected cases.

Journal of Computer Science, 2012

In some cases, surgeons need to navigate through the computer system for reconfirmation patients'... more In some cases, surgeons need to navigate through the computer system for reconfirmation patients' details and unfortunately surgeons unable to manage both computer system and operation at the same time. In this paper we propose a solution for this problem especially designed for heart surgeon, by introducing voice activation system with 3D visualization of Angiographic images, 2D visualization of Echocardiography processed video and selected patient's details. In this study, the processing, approximation of the 3D angiography and the visualization of the 2D echocardiography video with voice recognition control are the most challenging work. The work involve with predicting 3D coronary three from 2D angiography image and also image enhancement which utilize the median filtering, morphological opening and contrast improvement and heart boundaries detection. With 3D reconstruction of 2D angiography images, the system was able to display 3D coronary tree, with voice activation. The system was able to rotate, zoom in and out the 3D image, the 2D echocardiography video and display patient's information that needed by the surgeon while doing heart surgery. Development of this system is useful for surgeons, where they can navigate the system using voice commands instead of keyboard and mouse. Medical practitioners also can facilitate more the angiogram and echocardiograph images. With this system, it can help and ease the work of surgeons in analyzing and processing the medical images especially in-vivo procedure.

American Journal of Applied Sciences, 2013

The 3D reconstruction from a single-view image is a longstanding issue in computer vision literat... more The 3D reconstruction from a single-view image is a longstanding issue in computer vision literature, especially in the medical field. Traditional medical imaging techniques that provide information about the heart and which are used to reconstruct the heart model, include Magnetic Resonance Imaging (MRI) and Computed Tomography (CT) images. However, in some cases, they are not available and the applications that use these techniques to model the human heart only produce acceptable results after a long process, which involves acquiring the input data, as well as the segmentation process, the matching process, effort and cost. Therefore, it would be useful to be able to use a 2D single image to reconstruct the 3D heart surface model. We introduce an image-based human heart surface reconstruction from a single image as input. To model the surface of the heart, the proposed method, first, detects and corrects the specular reflection from the heart's surface, which causes deformation of the surface in the R3. Second, it extrudes the three axes for each image pixel (e.g., x, y and z axes) from the input image, in which the z-axis is calculated using the intensity value. Finally, a 3D reconstruction of the heart surface is created to help the novice cardiac surgeon to reduce the period of time in learning cardiac surgery and to enhance their perception of the operating theatre. The experimental results for images of the heart show the efficiency of the proposed method compared to the existing methods.

Journal of Computer Science, 2010

Problem statement: Whereas most of the conventional techniques propose using multiview cineangiog... more Problem statement: Whereas most of the conventional techniques propose using multiview cineangiograms to reconstruct 3D objects this article proposes to integrate a Three Dimension (3D) model of the coronary artery tree using a standard single-view cineangiogram. Splitting the cineangiograms into non-sequenced and different angle views is how the data is supplied in this method. Each single view can be used to reconstruct a robust 3D model of the coronary artery from that angle of view. Although the dynamic variations of blood vessels curvature have been difficult to study in Two Dimension (2D) angiograms, there is both experimental and clinical evidence showing that 3D coronary reconstruction is very useful for surgery planning and clinical study. Approach: The algorithm has three stages. The first stage is the vessel extraction and labeling for each view for the purpose of constructing the 3D model, while in the second stage, the vessels information (x, y and z) will be saved in a data file to be forwarded to the next stage. Finally, we input the x, y and z of a specific coronary artery tree to the OPENGL library included in the software, which we developed and called Fast 3D (F3D) and which is displayed in R 3. Results: Experimental evaluation has been done to clinical raw data sets where the experimental results revealed that the proposed algorithm has a robust 3D output. Conclusion: Results showed that our proposed algorithm has high robustness for a variety of image resolutions and voxel anisotropy.

ARPN journal of engineering and applied sciences, 2015

This research is about obtaining the realism in virtual heart surgery. Normally, novice cardiac s... more This research is about obtaining the realism in virtual heart surgery. Normally, novice cardiac surgeons learn the surgery by observing the experts perform the operation on a patient. The physical involvement from these novice cardiac surgeons are very minimal. As such, virtual surgery might help in simulating the cardiac surgery and provide the feeling of doing a real surgery without putting any patients’ life at risk. The main challenge in virtual surgery is to ensure the 3D model of the heart is as realistic as the real heart. Currently artificial 3D heart is used in virtual cardiac surgery. In order to provide realism in the virtual surgery, MRI are used to capture the internal part of the heart and camera-captured images are used to portray the external part. The MRI slices are combined to create a 3D heart. In order to increase the accuracy of the texture mapping, the captured image are transformed into 3D points of cloud based on the depth of the surface, before they can be m...