Image matching has been a central problem in computer vision and image processing for decades. Most of the previous approaches to image matching can be categorized into the intensity-based and edge-based comparison. Hausdorff distance has been widely used for comparing point sets or edge maps since it does not require point correspondences. In this paper, we propose a new image similarity measu...

The image gradient is a commonly computed image feature and a potentially predictive factor for image quality assessment (IQA). Indeed, it has been successfully used for both fulland noreference image quality prediction. However, the gradient orientation has not been deeply explored as a predictive source of information for image quality assessment. Here we seek to amend this by studying the qu...

We propose a new definition for the gradient field of a discrete image, defined on a twice finer grid. The differentiation process from the image to its gradient field is viewed as the inverse operation of linear integration, and the proposed mapping is nonlinear. Then, we define the total variation of an image as the `1 norm of its gradient field amplitude. This new definition of the total var...

The theme of the work presented here is performance comparison of gradient mask texture based image retrieval techniques using Walsh, Haar and Kekre transforms with image maps. The shape of the image is extracted by using three different gradient operators (Prewitt, Robert and Sobel) with slope magnitude method followed by generation of image maps (binary image maps in case of Walsh transform a...

Infrared image segmentation is a challenging topic because infrared images are characterized by high noise, low contrast, and weak edges. Active contour models, especially gradient vector flow, have several advantages in terms of infrared image segmentation. However, the GVF (Gradient Vector Flow) model also has some drawbacks including a dilemma between noise smoothing and weak edge protection...

Electromagnetic tomography technology is a new process tomography technology. The aim of this study is to develop a new image reconstruction algorithm suitable to electromagnetic tomography and verify its convergence. The advantages and development of electromagnetic tomography technology and image reconstruction algorithms are introduced briefly. Based on conjugate gradient algorithm, modified...

Image edge detection is a process of locating the edge of an image which is important in finding the approximate absolute gradient magnitude at each point I of an input grayscale image. The problem of getting an appropriate absolute gradient magnitude for edges lies in the method used. The Sobel operator performs a 2-D spatial gradient measurement on images. Transferring a 2-D pixel array into ...

Gradient Blending method is used to crosscorrelate the different images by varying the intensity. Content-aware image resizing technique allows to obtain the visual content of the images by enriching the salient information in different aspect of ratio. Seam carving is a simple image operator that can change the size of an image either by carving out or by inserting pixel in different part of t...

In this paper, we propose a method to represent the image based on the image color constitute region, to retain the color texture information, and to reconstruct image by interpolation. The image would be segmented by the watershed algorithm to get color gradient direction as the texture information, and be represented by asymmetric and anti-packing model. The gradient direction would indicate ...

Aiming at the 2D color barcode images captured by mobile phone camera under complex environment, this paper presents a novel segmentation algorithm of 2D color barcode image based on gradient features. Firstly, the gradient image can be obtained by extracting gradient features from the image captured. Then the DCT transformation algorithm is used to partition the gradient image and the enhanced...