1Department of Obstetrics and Gynecology, Juntendo University Faculty of Medicine, Tokyo, Japan, 2Department of Obstetrics and Gynecology, Saitama Medical Center, Saitama Medical University, Kawagoe, Japan, 3Department of Emergency and Intensive Care, Shiga University of Medical Science, Otsu, Japan, 4Central Research Institute of Maruha Corp., Ibaraki, Japan, 5Department of Molecular Behaviora...

Mammographic mass detection is an important task for early detection of breast cancer diagnosis and treatment. This is however still remains a challenging task. In this paper, we have proposed a multilevel thresholding algorithm for segmenting the tumor. This paper compares two most popular method, namely between class variance (Otsu) and entropy criterion (Kapur’s) methods for segmenting the t...

Dry fingerprint has blurred image, because of overlapping of valleys, singular point to the fingertip and ridges. By using local entropy thresholding method, we extract the fingerprint images. This method is compared to canny filter images, sobel filter images and otsu algorithm images. This technique is used to enhance the contrast between valleys and ridges of the poor, medium and best image ...

The profilogram of FAE (fuel-air explosive) fuel explosion image is the important base to analyze the explosion process. In this article, the double peak method, the iteration method, the OTSU method, and the maximum entropy criterion method are respectively used to confirm the threshold, and extract and compare the profilograms of the FAE fuel explosion image, which could establish the base fo...

The spectral information contained in the hyperspectral images (HSI) distinguishes intrinsic properties of a target from background, which is widely used remote sensing. However, low imaging speed and high data redundancy caused by resolution spectrometers limit their application scenarios with real-time requirement. In this work, we achieve precise detection camouflaged targets based on snapsh...

In this paper, we present discriminative approaches to histogram-based image thresholding, in which the optimal threshold is derived from the maximum likelihood based on the conditional distribution p(y|x) of y, the class indicator of a grey level x, given x. The discriminative approaches can be regarded as discriminative extensions of the traditional generative approaches to thresholding, such...

This project presents the Recognition of object (Aircraft) in an image for better recognition based on the combination of wavelet features and correlation on shape analysis. An object can also be recognized with help of texture or appearance features through Scale invariant feature transform (Wavelet Transform). These correlation measurement and SIFT for appearance feature extraction are effect...

Diffusion-Weighted Magnetic Resonance Imaging (DWI) is widely used for early cerebral infarct detection caused by ischemic stroke. Manual segmentation is done by a radiologist as a common clinical process, nonetheless, challenges of cerebral infarct segmentation come from low resolution and uncertain boundaries. Many segmentation techniques have been proposed and proved by manual segmentation a...