Using the Taguchi method, this study presents a systematic optimization approach for thermal properties of Al/SiC-Gr composites which were synthesized by using metallurgy technique. The thermal conductivity, diffusivity...
This paper presents a comparative study of medical image fusion algorithms along with its performance analysis. Magnetic Resonance Imaging (MRI) and Computed Tomography (CT) images are used to fuse which form a contempor...
Identifying the human actions in unconfined videos is a difficult problem in several applications. The human action recognition is an active area of research. For this purpose the system proposes motion representation. I...
In this paper, a new method for Classification of Breast Cancer Images using deep Learning Algorithm are proposed. The Classification Algorithm appears as various features extracted from Healthy Breast images and U...
This paper presents a blind de-convolution algorithm for enhancing cardiac SPECT images by reducing the blur present in the image. The method is based on maximum likelihood estimate and in particular, the processin...
EP ID EP88446
DOI 10.9756/BIJAIP.10188
Views 128
Downloads 0
How To Cite
M. P. Priyadarshini, Dr. G. Indumathi (2013). . Bonfring International Journal of Advances in Image Processing, 3(1),
8-12. https://www.europub.co.uk/articles/-A-88446
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Application of Taguchi Method for Optimizing the Parameters of Thermal Properties of Al/SiC-Gr Hybrid Composites
Using the Taguchi method, this study presents a systematic optimization approach for thermal properties of Al/SiC-Gr composites which were synthesized by using metallurgy technique. The thermal conductivity, diffusivity...
Image Fusion Algorithms for Medical Images-A Comparison
This paper presents a comparative study of medical image fusion algorithms along with its performance analysis. Magnetic Resonance Imaging (MRI) and Computed Tomography (CT) images are used to fuse which form a contempor...
Exploiting the Motion Learning Paradigm for Recognizing Human Actions
Identifying the human actions in unconfined videos is a difficult problem in several applications. The human action recognition is an active area of research. For this purpose the system proposes motion representation. I...
Efficient Classification of Breast Lesion based on Deep Learning Technique
In this paper, a new method for Classification of Breast Cancer Images using deep Learning Algorithm are proposed. The Classification Algorithm appears as various features extracted from Healthy Breast images and U...
De-blurring Cardiac SPECT Images by Maximum Likelihood Approach
This paper presents a blind de-convolution algorithm for enhancing cardiac SPECT images by reducing the blur present in the image. The method is based on maximum likelihood estimate and in particular, the processin...