نتایج جستجو برای: circular hough transform

تعداد نتایج: 181771  

Journal: :The Annals of Statistics 2004

Journal: :Water 2021

Irrigation systems play an important role in agriculture. Center pivot irrigation are popular many countries as they labor-saving and water consumption efficient. Monitoring the distribution of center can provide information for agricultural production, land use. Deep learning has become effective method image classification object detection. In this paper, a new to detect precise shape is prop...

Journal: :Remote Sensing 2014
Lei Luo Xinyuan Wang Huadong Guo Chuansheng Liu Jie Liu Li Li Xiaocui Du Guoquan Qian

Qanats in northern Xinjiang of China provide valuable information for agriculturists and anthropologists who seek fundamental understanding of the distribution of qanat water supply systems with regard to water resource utilization, the development of oasis agriculture, and eventually climate change. Only the tops of qanat shafts (TQSs), indicating the course of the qanats, can be observed from...

1999
Du-Ming Tsai

In this paper, we present a machine vision approach for detecting and inspecting circular parts and the parts with circular arcs on the contours. The method uses the Hough transform technique and utilizes the directional information of a normal to the circle at each boundary point. A cubic polynomial curve fitting is used to estimate the normal and determine the concavity of the fitted curve at...

2014
Jitendra Patidar

Face detection is a computer technology that determines the locations and sizes of human faces in arbitrary images. It detects facial features and ignores anything else, such as buildings, trees and bodies. We have implemented an efficient system to recognize faces from images with some near real-time variations. Our approach essentially was to implement and verify the algorithm. This method co...

2012
Melanie Johnston-Hollitt

While automatic detection of point sources in astronomical images has experienced a great degree of success, less effort has been directed towards the detection of extended and low-surface brightness features. At present, existing telescopes still rely on human expertise to reduce the raw data to usable images and then to analyse the images for non-pointlike objects. However, the next generatio...

2003
Atul Negi K. Nikhil Shanker Chandra Kanth Chereddi

In this paper we present a system to locate, extract and recognize Telugu text. The circular nature of Telugu script is exploited for segmenting text regions using the Hough Transform. First, the Hough Transform for circles is performed on the Sobel gradient magnitude of the image to locate text. The located circles are filled to yield text regions, followed by Recursive XY Cuts to segment the ...

2004
Chaoqiang Liu Tao Xia Hui Li

This paper addresses the improvement on the generalized Hough transform for the biometric identification applications. The errors in generalized Hough transform for fingerprint matching are investigated and a new hierarchical Hough transform algorithm is proposed, which is faster and more accurate compared to conventional generalized Hough transform.

Journal: :CoRR 2012
Hamdi Hassen Maher Khemakhem

this paper is practically interested in the unchangeable feature of Arabic handwritten character. It presents results of comparative study achieved on certain features extraction techniques of handwritten character, based on Hough transform, Fourier transform, Wavelet transform and Gabor Filter. Obtained results show that Hough Transform and Gabor filter are insensible to the rotation and trans...

2012
Soham De Nupur Biswas Abhijit Sanyal Pulak Ray Alokmay Datta

Particle detection in very noisy and low contrast images is an active field of research in image processing. In this article, a method is proposed for the efficient detection and sizing of subsurface spherical particles, which is used for the processing of softly fused Au nanoparticles. Transmission Electron Microscopy is used for imaging the nanoparticles, and the proposed algorithm has been t...

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