The objective of image fusion for medical images is to combine multiple images obtained from various sources into a single image suitable for better diagnosis. Most of the state-of-the-art image fusing technique is based on nonfuzzy sets, and the fused image so obtained lags with complementary information. Intuitionistic fuzzy sets (IFS) are determined to be more suitable for civilian, and medi...

We apply Shannon’s sampling theorem to gradient based image segmentation and show that the gradient magnitude requires twice the sampling rate of the original image. Taking this simple, but apparently overlooked phenomenon into account, we demonstrate experimentally that correct sampling of the gradient image indeed improves the quality of the resulting segmentation.

Abstract. The choice of natural image prior decides the quality of restored image. Recently successful algorithms exploit heavy-tailed gradient distribution as image prior to restore latent image with piecewise smooth regions. However, these prior assumed also remove the mid-frequency component such as textural details regions while they preserve sharp edges. That because gradient profile in fr...

We derive suucient conditions on image structure that permits determination of 3-D motion parameters and depth from motion relative a rigid surface in front of the camera. We assume that only the rst order spatio-temporal derivative or of the image is given and that the image intensity is continuously diierentiable everywhere or that image contours are continuously diierentiable. This means tha...

Image segmentation is currently a prominent topic for both military and commercial researchers. This paper concentrates on the image segmentation based on the combination of modulated intensity gradient and texture gradient. Image segmentation is an integral part of image analysis. In image processing different processes are done on images to enhance it at different parameters. These processes ...

In this paper, we propose a machine vision algorithm for automatically detecting defects in patterned textures with the help of gradient space and its energy. Gradient space image is obtained from the input defective image and is split into several blocks of size same as that of the periodic unit of the input defective image. Energy of the gradient space image is used as feature space for ident...

A spatial clustering procedure applicable to multi-spectral image data is discussed. The procedure takes into account the spatial distribution of the measurements as well as their distribution in measurement space. The procedure calls for the generation and then thresholding of the gradient image, cleaning the thresholded image, labeling the connected regions in the cleaned image, and clusterin...

Many image processing methods such as corner detection, optical flow and iterative enhancement make use of image tensors. Generally, these tensors are estimated using the structure tensor. In this work we show that the gradient energy tensor can be used as an alternative to the structure tensor in several cases. We apply the gradient energy tensor to common image problem applications such as co...