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Now showing items 11-20 of 40
Detection of tuberculosis bacilli in tissue slide images using HMLP network trained by Extreme Learning Machine
(Kauno Technologijos Universitetas, 2012-04)
This paper proposes an automated detection of tuberculosis bacilli in Ziehl-Neelsen-stained tissue slides using image processing and neural network. Image segmentation using CY-based colour filter and k-mean clustering ...
Colour image segmentation of malaria parasites in thin blood smears using C-Y colour model and K-Means clustering
(Universiti Malaysia Perlis (UniMAP), 2012-06-18)
Malaria is a life threatening disease that is responsible for nearly one million deaths each
year. With the large number of cases diagnosed over the year, rapid detection and accurate
diagnosis which facilitates prompt ...
Image enhancement technique for bone marrow
(Universiti Malaysia Perlis (UniMAP), 2012-06-18)
This paper presents a study on image enhancement technique for improving the features of blasts in acute leukemia bone marrow samples. The morphological features in bone marrow images could be improved if poor contrast ...
Modified global and modified linear contrast stretching algorithms: New colour contrast enhancement techniques for microscopic analysis of malaria slide images
(Hindawi Publishing Corporation, 2012)
Malaria is one of the serious global health problem, causing widespread sufferings and deaths in various parts of the world. With the large number of cases diagnosed over the year, early detection and accurate diagnosis ...
3D object recognition system using multiple views and cascaded multilayered perceptron network
(IEEE Conference Publications, 2004-12)
This paper proposes an effective method for recognition and classification of 3D objects using multiple views technique and neural networks system. In the processing stage, we propose to use 2D moment invariants as the ...
3D object recognition using 2D moments and HMLP network
(IEEE Conference Publications, 2004-07)
This paper proposes a method for recognition and classification of 3D objects using 2D moments and HMLP network. The 2D moments are calculated based on 2D intensity images taken from multiple cameras that have been arranged ...
Model reference adaptive control with adaptive parametric black box controller
(Institute of Electrical and Electronics Engineers (IEEE), 2008-12-01)
In this paper,a method for adapting conventional controller are used to adapt an Adaptive Parametric Black Box Controller (APBB). The APBB controller will be adapted such that the plant should follow a desired trajectory ...
Performance comparison of clustering and thresholding algorithms for tuberculosis bacilli segmentation.
(Institute of Electrical and Electronics Engineers (IEEE), 2012-05-14)
Image segmentation is a key step in most medical image analysis. However, the process is particularly difficult due to limitation of the imaging equipments and variation in biological system. Therefore, accurate and robust ...
Image enhancement techniques using local, global, bright, dark and partial contrast stretching for acute leukemia images
(International Association of Engineers, 2009-07)
Leukaemia is a malignant disease (cancer) that affects people in any age either they are children or adults over 50 years old. Nowadays, there are screening system guidelines for leukaemia patients. The screening result ...
Blood cell image segmentation: a review
(Springer-Verlag, 2008-06)
Image processing technique involved five basic components which are image acquisition, image preprocessing, image segmentation, image post-processing and image analysis. The most critical step in image processing is the ...