Raka Chowdhury

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In this paper, we employ artificial neural network (ANN) together with image analysis techniques to automate the assessment of erythrocyte disorders using blood parameters such as red blood cell (RBC) count, hemoglobin (Hgb) level, and mean corpuscular hemoglobin (MCH). The neural network is trained using 800 blood sample images collected from the Prince(More)
In this paper, we present a hybrid 2-3-3 bits based encoding scheme for gray scale images. In this scheme, the gray scale image is converted to its equivalent 8-binary maps. We employ our lossless block coding technique along with a two-dimensional information preserving skip-line routine on the two most significant binary maps. Then, we apply our lossy(More)
The problem of image restoration in presence of blur and noise has been a very important problem in the domain of digital image processing and computer vision. A quantum inspired back propagation neural network (QBPNN) architecture based on quantum gates (single qubit rotation gates and two qubit controlled-not gates) has been used and its back propagation(More)
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