This paper introduces a novel and efficient Graph Convolutional Network (GCN) Spatial Supporting Modification (SSM) method for classifying Hyperspectral Images (HSI), called First (SPA-F). The proposed can utilize spatial information fully based on the assumption that neighboring pixels are more likely to belong same category. uses from two levels consists of following steps. Firstly, graph is ...

In this paper a new method for color image segmentation is presented. The proposed algorithm divides the image into homogeneous regions by derivation of local thresholds via local information. The algorithm contains two main steps. First, the watershed algorithm is applied on the image gradient magnitude. Its results are used as an initial segmentation for the next step, which is region merging...

in this paper, a novel decision based median (dbm) filter for enhancing mr images has been proposed. the method is based on eliminating impulse noise from mr images. a median-based method to remove impulse noise from digital mr images has been developed. each pixel is leveled from black to white like gray-level. the method is adjusted in order to decide whether the median operation can be appli...

This paper presents a new technique to extract the light invariant local feature for facial expression recognition. It is not only robust to monotonic gray-scale changes caused by light variations but also very simple to perform which makes it possible for analyzing images in challenging real-time settings. The local feature for a pixel is computed by finding the direction of the neighboring of...

This paper addresses the problem of video object segmentation, where the initial object mask is given in the first frame of an input video. We propose a novel spatiotemporal Markov Random Field (MRF) model defined over pixels to handle this problem. Unlike conventional MRF models, the spatial dependencies among pixels in our model are encoded by a Convolutional Neural Network (CNN). Specificall...

In this paper, we present an interactive system for users to easily colorize the natural images of complex scenes. In our system, colorization procedure is explicitly separated into two stages: Color labeling and Color mapping. Pixels that should roughly share similar colors are grouped into coherent regions in the color labeling stage, and the color mapping stage is then introduced to further ...

We propose a novel coplanar filter, which exploits the coplanarity of gray-level distribution of neighboring pixels, to pre-filter the document images. Experiments show that the proposed filter exhibits the following desired properties for document image binarization: (1) impulsive noise removal, (2) piecewise smoothing, and (3) sharp edge preservation.