Image mosaic is an important research content in digital image processing, and could be used to solve the problem of observing large objects with narrow view, such as 360 degree panorama stitching. Microscopic observation of liver biopsy is a commonly used method in diagnosing liver diseases, which are always rely on the whole liver slice. Therefore, the liver pathological microscopic image mos...

: Department of Computing Science, University of Glasgow, Glasgow, Scotland {wpc, gaog, tao}@dcs.gla.ac.uk : Analog Information Systems, Edinburgh, Scotland [email protected] : Depto. de Farmacologia, Terapeútica i Toxicologia. Facultat de Medicina. Universitat Autonoma de Barcelona. Barcelona, Spain. Ana M. [email protected] : Faculty of Biomedical & Life Sciences, University of Glasgow, ...

IMAGE PROCESSING METHODS FOR COMPUTER-AIDED INTERPRETATION OF MICROSCOPIC IMAGES Musa Furkan Keskin M.S. in Electrical and Electronics Engineering Supervisor: Prof. Dr. A. Enis Çetin September, 2012 Image processing algorithms for automated analysis of microscopic images have become increasingly popular in the last decade with the remarkable growth in computational power. The advent of high-thr...

Microscopic image analysis of blood smear plays a very important role in characterization of erythrocytes in screening of malaria parasites. The characteristics feature of erythrocyte changes due to malaria parasite infection. The microscopic features of the erythrocyte include morphology, intensity and texture. In this paper, the different features used to differentiate the noninfected and mal...

In this Letter, we study the reconstruction of digital holograms of microscopic objects using a fixed-point representation of the numercial-reconstruction process. For different bit levels in our fixed-point reconstruction algorithm, we investigate the errors introduced to both the reconstructed image intensity and the unwrapped quantitative phase information. Experimental results based on a mi...

: Microscopic image analysis is used to research the classification and recognition of wastewater bacteria. A improved neural network is put forward for wastewater bacteria classification based on micriscopic image of wastewater bacteria. An adaptive and enhanced edge detection solution for the images of wastewater bacteria is described, which can effectively remove or restrain noises in the im...

The classification and recognition for wastewater bacteria are studied by image analysis. A novel recognition method for the image of wastewater bacterial is presented in the paper. An adaptive and enhanced edge detection solution for the images of wastewater bacteria is proposed, which can effectively remove noises in the images and get clear edges of microscopic image by optimizing segmentati...

Clustering algorithms have successfully been applied as a digital image segmentation technique in various fields and applications. However, those clustering algorithms are only applicable for specific images such as medical images, microscopic images etc. In this paper, we present a new clustering algorithm called Image segmentation using K-mean clustering for finding tumor in medical applicati...

Texture segmentation and classification form very important topics of the interdisciplinary area of digital signal processing with many applications in different areas including analysis of microscopic images, biomedical image processing or detection of satellite image components. The paper presents selected mathematical tools for pattern recognition applied in crystalography to detect individu...