Photons Counted Integral Imaging (PCII) reconstructs 3D scenes with both focused and off-focused voxels. The portions do not contain or convey any visually valuable information are therefore redundant. In this work, for the first time, we developed a six-ensembled Deep Neural Network (DNN) to identify remove voxels from conventional computational integral imaging PCII techniques. As preprocessi...

Image processing is the most effective method for enhancement and segmentation of tuberculosis bacilli in sputum smear samples. Improper straining can result poor screening results such as over-staining, under-staining, blurred images. The goal to find an image technique that will prepare feature extraction. There are still some shortcomings with existing when it implemented on Ziehl Neelsen In...

An image segmentation technique based on maximum fuzzy entropy is applied for Magnetic Resonance (MR) brain images to detect a brain tumor is presented in this paper. The proposed method performs image segmentation based on adaptive thresholding of the input MR brain images. The MR brain image is classified into two Membership Function (MF), whose MFs of the fuzzy region are Z-function and S-fu...

Image segmentation is defined as a partition realized to an image into homogeneous regions to modify it into something that is more meaningful and softer to examine. Although several segmentation approaches have been proposed recently, in this paper, we develop a new image segmentation method based on the statistical confidence interval tool along with the well-known Otsu algorithm. According t...

As one of the most severe natural disasters in world, floods caused substantial economic losses and casualties every year. Timely accurate acquisition flood inundation extent could provide technical support for relevant departments field emergency response disaster relief. Given accuracy existing research works extracting based on Synthetic Aperture Radar (SAR) images deep learning methods is r...

Background Late gadolinium enhancement (LGE) is an accurate and reproducible method to delineate nonviable myocardium following myocardial infarction (MI). However, in the early stages following acute MI, LGE has been shown to overestimate the size of the infarct zone by up to 30%. The causes for this are unclear, and may be related to tissue remodelling, intracellular contrast uptake, or expan...

Mammography is usually the first preference of imaging diagnostic modalities used for detection breast cancer in early stage. Two projections Cranio Caudal (CC) and Medio-Lateral Oblique (MLO) which depict different degrees visualizing are during digital mammogram acquisition MLO view shows more tissue Pectoral Muscle (PM) area when compared to CC view. Although, PM a criterion show proper posi...

Medical image segmentation is widely used in clinical medicine, and the accuracy of algorithm will affect diagnosis results treatment plans. However, manual medical images requires extensive experience knowledge, it both time-consuming labor-intensive. To overcome problems above, we propose a novel interval iterative multi-thresholding based on hybrid spatial filter region growing for brain MR ...