The Hough transform is a widely used tool for line detection mainly due to its robustness to noise; on the other hand, it is also known to be computationally expensive, thus often preventing from real-time operation. In this paper we evaluate the performance of an all-integer version of the Hough transform, implemented without floating point operations. We show that the integer transform is 2 t...

The acquired image will has different levels of noise pollution and image distortion in Handwritten Chinese character recognition document image processing. For these situations the accurate and fast edge detection method is an important prerequisite for the recognition results. The widely used edge detection algorithms such as: first derivative-based edge detection method, second derivative ed...

automatic road extraction from aerial images can be very helpful in traffic control and vehicle guidance systems. most of the road detection approaches are based on image segmentation algorithms. color-based segmentation is very sensitive to light changes and consequently the change of weather condition affects the recognition rate of road detection systems. in order to reduce the light change ...

Background: To reduce uncertainties of patient positioning, the Computerized Tomography (CT) images acquired at the treatment planning time can be compared with those images obtained during radiation dose delivery. This can be followed during dose delivery procedure as Image Guided radiotherapy (IGRT) to verify the prescribed radiation dose delivery to the target as well as to monitor ...

Talaşlı imalat işlemlerinde parça kalitesini etkileyen en önemli parametrelerden biri de işleme sırasında kullanılan kesici ucun aşınmasıdır. Elde edilen ürünlerin daha iyi yüzey kalitesi sahip olmaları için aşınma durumunu bilmek ve takımın ömrünü şekilde tahmin etmek gerekmektedir. Bu amaç doğrultusunda yapılan çalışmada, işlemler otomatik olarak takım aşınmasının takibine izin veren görüntü ...

Edge detection is in the forefront of image processing for object detection, it is crucial to have a good understanding of edge detection algorithms. This paper introduces a classification of most important and commonly used edge detection algorithms, namely Canny, Sobel, Laplacian.Different categories are included in our classification, and then advantages and disadvantages of some available a...

In recent years due to improvements of technology within automobile industry, design process of advanced driver assistance systems for collision avoidance and traffic management has been investigated in both academics and industrial levels. Detection of traffic signs is an effective method to reach the mentioned aims. In this paper a new intelligent driver assistance system based on traffic...

Medical images edge detection is an important work for object recognition of the human organs and it is an important pre-processing step in medical image segmentation and 3D reconstruction. Conventionally, edge is detected according to some early brought forward algorithms such as gradient-based algorithm and template-based algorithm, but they are not so good for noise medical image edge detect...

Edge detection is important part of image processing for object detection. So it becomes extremely important to have a good understanding of edge detection algorithms. An edge is the real or imagined line that marks the limit and divides of plane, object or appearance from other places or things. This means that if the edges in an image can be identified accurately, all of the objects can be lo...