Remote sensing (RS) image classification has attracted much attention recently and is widely used in various fields. Different to natural images, the RS scenes consist of complex backgrounds stochastically arranged objects, thus making it difficult for networks focus on target objects scene. However, conventional methods do not have any special treatment remote images. In this paper, we propose...

Edge detection is a process that detects the presence and location of edges constituted by sharp changes in intensity of an image. Edges define the boundaries between regions in an image, which helps with segmentation and object recognition. Edge detection of an image significantly reduces the amount of data and filters out useless information, while preserving the important structural properti...

Pedestrian detection is the key technology in Advanced Driver Assistant System (ADAS).Until recently, pedestrian detection, which is realized as the vehicle equipment, still doesn't have the mature product. So, this thesis proposes a novel pedestrian detection system on board with the E-HOG (Histogram of Gradient) IP (intellectual property), can be used as the real time vehicle equipment. Three...

\ Abstract: Edge detection plays an important role in object identification. Application ranges from machine vision, image processing to pattern recognition. There exist many algorithms for detecting edges such as sobel, prewitt, canny, morphological operators etc. Canny operator is more susceptible to noise. This paper analyses the advantages and disadvantages of Canny operator and Morphologic...

In this work, we present the parallel implementation of three low-Ievel vision algorithms, namely smoothing, histogram generation and edge detection by using the Sobel operator on the Homogeneous Multiprocessor. These algorithms were run on the simulator specifically developed for the Homogeneous Multiprocessor and the simulation experiments were used to establish the performance of these algor...

Aggregate edge detection is the basis of creating concrete mesoscale model, which is applied to analyze concrete mesoscale characteristics. A concrete digital image edge detection method using DIS operator is presented in this paper. Mean filter, multi-scale filter, and Gaussian filter are compared on the effect of concrete image noise reduction. Based on the result, Gaussian filter is the most...

Several approaches of different complexity already exist to edge detection in color images. Nevertheless, the question remains of how different are the results when employing computational costly techniques instead of simple ones. This paper presents a comparative study on different approaches to color edge detection. The approaches are based on the Sobel operator, the Laplace operator, the Mex...

This paper presents a method reconstructing 3-d image structures with data collected from double optical paths microscopy. A color image gathered is divided into two monochromatic images which respectively represent right and left vision data by color filter. Then the image structures are extracted by median filter and calculated with Sobel operator or Canny operator. Pixels between the right a...