Umme Sara, Morium Akter, Mohammad Shorif Uddin
Quality is a very important parameter for all objects and their functionalities. In image-based object recognition, image quality is a prime criterion. For authentic image quality evaluation, ground truth is required. But in practice, it is very difficult to find the ground truth. Usually, image qua...
Aditya Khamparia, Subrato Bharati, Prajoy Podder, Deepak Gupta et al.
Breast cancer is a common cancer in women. Early detection of breast cancer in particular and cancer, in general, can considerably increase the survival rate of women, and it can be much more effective. This paper mainly focuses on the transfer learning process to detect breast cancer. Modified VGG ...
Md Palash Uddin, Md. Al Mamun, Masud Ibn Afjal, Md. Ali Hossain
Hyperspectral image (HSI) usually holds information of land cover classes as a set of many contiguous narrow spectral wavelength bands. For its efficient thematic mapping or classification, band (feature) reduction strategies through Feature Extraction (FE) and/or Feature Selection (FS) methods for ...
R. Nanmaran, S Srimathi, G. Yamuna, S. Thanigaivel et al.
Image fusion can be performed on images either in spatial domain or frequency domain methods. Frequency domain methods will be most preferred because these methods can improve the quality of edges in an image. In image fusion, the resultant fused images will be more informative than individual input...
Bodruddoza Mia, Yasuhiro Fujimitsu
Hayder Dibs, Alaa Hussein Ali, Nadhir Al‐Ansari, Salwan Ali Abed
Currently, updating the change detection (CD) of land use/land cover (LU/LC) geospatial information with high accuracy outcomes is important and very confusing with the different classification methods, datasets, satellite images, and ancillary dataset types available. However, using just the low sp...
Hancheng Yu, Li Zhao, Haixian Wang
In this letter, we present an efficient algorithm for the removal of random-valued impulse noise from a corrupted image by using a reference image. The proposed method uses a statistic of rank-ordered relative differences to identify pixels which are likely to be corrupted by impulse noise. Once a n...
Mohammad Tariqul Islam, Sejuti Rahman, M. Omair Ahmad, M.N.S. Swamy
The removal of mixed-noise is an ill-posed problem due to high level of non-linearity in the distribution of noise. Most commonly encountered mixed-noise is the combination of additive white Gaussian noise (AWGN) and impulse noise (IN) that have contrasting characteristics. A number of methods from ...
Hafijur Rahman, Gour Chandra Paul
Hayder Dibs, Hussein Sabah Jaber, Nadhir Al‐Ansari
Producing accurate Land-Use and Land-Cover (LU/LC) maps using low-spatial-resolution images is a difficult task. Pan-sharpening is crucial for estimating LU/LC patterns. This study aimed to identify the most precise procedure for estimating LU/LC by adopting two fusion approaches, namely Color Norma...
Kazi A. Kalpoma, J. Kudoh
Many image fusion techniques have been developed. However, most existing fusion processes produce color distortion in 1-m fused IKONOS images due to nonsymmetrical spectral responses of IKONOS imagery. Here, we proposed a fusion process to minimize this spectral distortion in IKONOS 1-m color images...
S. M. Mahbubur Rahman, Md. Kamrul Hasan
Anwar Ali, Dewan Abdul Quadir, Oscar K. Huh
Abstract This paper examines the applicability of NOAA satellite AVHRR imagery to monitoring and studying the river floods and associated hydrological conditions in Bangladesh and the adjoining regions. The flood period considered is that of the last 10 days of September 1984, when Bangladesh experi...
Subrato Bharati, Tanvir Zaman Khan, Prajoy Podder, Nguyen Quoc Hung
. Noise reduction in medical images is a perplexing undertaking for the researchers in digital image processing. Noise generates maximum critical disturbances as well as touches the medical images quality, ultrasound images in the field of biomedical imaging. The image is normally considered as gath...
Tanzila Rahman, Mohammad Shorif Uddin
Ultrasound imaging plays a crucial roles in medical field to estimate kidney size, position, appearance and helps to detect structural abnormalities as well as the presence of cysts, stones, cancer, congenital anomalies, swelling, blockage of urine flow etc. But presence of speckle noise and low con...