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...

In this work, a robust thresholding algorithm framework based on reconstruction and dimensionality reduction of the three-dimensional (3-D) histogram is proposed with the consideration of the poor anti-noise performance in existing 3-D histogram-based segmentation methods due to the obviously wrong region division. Firstly, our method reconstructs the 3-D histogram based on the distribution of ...

Machine vision applications are low cost and high precision measurement systems which are frequently used in production lines. With these systems that provide contactless control and measurement, production facilities are able to reach high production numbers without errors. Machine vision operations such as product counting, error control, dimension measurement can be performed through a camer...

Skin Segmentation is widely used in biometric applications such as face detection, face recognition, face tracking, and hand gesture recognition. However, several challenges such as nonlinear illumination, equipment e ffects , personal interferences, ethnicity variations, etc., are involved in detection process that result in the inefficiency of color based methods. Even though many ideas have ...