scholarly journals A Comparative Study on the Center-based Iterative Hough Transform

2020 ◽  
Vol 9 (2) ◽  
Author(s):  
Joshua Park ◽  
Young-Woo Lee
Keyword(s):  
Hough Transform ◽  
Real Life ◽  
Performance Comparison ◽  
Brute Force ◽  
Circle Detection ◽  
Computationally Efficient ◽  
Generalized Hough Transform ◽  
Information Method ◽  
And Performance ◽  
Critical Aspects

Circle detection is one of the most critical aspects of computer vision and has been widely studied and developed in a variety of ways. The Center-based Iterative Hough Transform (CBIHT) is a method for unassisted multiple circle detection, based upon iterative uses of a center-based voting process to determine the circle’s center coordinate. This paper gives a thorough analysis of the CBIHT as well as a comparison with the Standard Hough Transform (SHT) and its well-known variants including the Generalized Hough Transform (GHT) and the Adaptive Hough Transform (AHT). When applied to synthetic and real-life circular images, our accuracy and performance comparison studies show that (i) the CBIHT is more computationally efficient than the SHT’s brute-force algorithm; (ii) the CBIHT’s center-based voting method has greater resilience to noise than the GHT and AHT’s gradient information method; and (iii) the CBIHT’s iterative process provides an adaptability and speed in unassisted multiple circle detection similar to that of the AHT; (iv) yet, the CBIHT requires no parameters for circle detection unlike the GHT and the AHT. All in all, a comparison with other methods highlights the aforementioned merit of the CBIHT, proving the CBIHT to be an excellent choice in detecting the circles with noise in real-life images. 

scholarly journals A Comparisonal Study on Circle Detection for Real-World Images

2019 ◽  
Vol 1 (2) ◽  
pp. 19-25
Author(s):  
Md. Omar Faruq ◽  
Md. Almash Alam ◽  
Md. Muktar Hossain
Keyword(s):  
Hough Transform ◽  
Real Life ◽  
Detection Algorithm ◽  
Simple Approach ◽  
Circle Detection ◽  
Circular Hough Transform ◽  
Texture Characteristics ◽  
Different Characteristics ◽  
Robust To Noise ◽  
Common Shape

Real-life objects have different characteristics such as form characteristics, texture characteristics, and color characteristics and so on. The circular objects are the most common shape in our day to day lives and industrial production. So circle detection algorithm is ever ending research today. The most common algorithm is Circular Hough Transform which is used to detect a circle in an image. It is not very robust to noise so a simple approach to modified Circular Hough Transform algorithm is applied to detect the circle from an image. The image is pre-processed by edge detection. A comparison between Circular Hough Transform and modified Circular Hough Transform algorithm is presented in this research.

Animal Recognition and Eye Movements

2010 ◽  
Vol 57 (2) ◽  
pp. 117-125 ◽  
Author(s):  
Toby J. Lloyd-Jones ◽  
Juergen Gehrke ◽  
Jason Lauder
Keyword(s):  
Eye Movements ◽  
Response Times ◽  
Real Life ◽  
Object Orientation ◽  
Decision Task ◽  
Line Drawings ◽  
Object Decision ◽  
Individual Features ◽  
And Performance

We assessed the importance of outline contour and individual features in mediating the recognition of animals by examining response times and eye movements in an animal-object decision task (i.e., deciding whether or not an object was an animal that may be encountered in real life). There were shorter latencies for animals as compared with nonanimals and performance was similar for shaded line drawings and silhouettes, suggesting that important information for recognition lies in the outline contour. The most salient information in the outline contour was around the head, followed by the lower torso and leg regions. We also observed effects of object orientation and argue that the usefulness of the head and lower torso/leg regions is consistent with a role for the object axis in recognition.

Design and Performance Comparison of Planar and Linear Antenna Array Using ADS

2014 ◽  
Vol 3 (2) ◽  
pp. 22-26
Author(s):  
V. S. Prabhu ◽  
◽  
V. P. Surya Surendran ◽  
V. G. Veena ◽  
◽  
...  
Keyword(s):  
Antenna Array ◽  
Performance Comparison ◽  
Linear Antenna ◽  
Linear Antenna Array ◽  
And Performance

SIMULATION AND PERFORMANCE COMPARISON OF VARIABLE SPEED MULTI-PHASE PMSM MACHINES

2018 ◽  
Vol 9 (1) ◽  
pp. 7
Author(s):  
MOIN SIDDIQUI KHADIM ◽  
FATMA AMREEN ◽  
KHURSHEED SIDDIQUI MOHD ◽  
◽  
◽  
...  
Keyword(s):  
Performance Comparison ◽  
Variable Speed ◽  
And Performance ◽  
Multi Phase

Application of vacuum belt press filters for cane mud filtration and performance comparison with rotary filters

2014 ◽  
pp. 298-301 ◽  
Author(s):  
Arnaud Petit
Keyword(s):  
Electricity Consumption ◽  
Performance Comparison ◽  
Operating Conditions ◽  
Vacuum Filter ◽  
Sugar Mill ◽  
Belt Press ◽  
Vacuum Belt ◽  
And Performance ◽  
Mud Filtration ◽  
The Impact

Bois-Rouge factory, an 8000 t/d cane Reunionese sugarcane mill, has fully equipped its filtration station with vacuum belt press filters since 2010, the first one being installed in 2009. The present study deals with this 3-year experience and discusses operating conditions, electricity consumption, performance and optimisation. The comparison with the more classical rotary drum vacuum filter station of Le Gol sugar mill highlights advantages of vacuum belt press filters: high filtration efficiency, low filter cake mass and sucrose content, low total solids content in filtrate and low power consumption. However, this technology needs a mud conditioning step and requires a large amount of water to improve mud quality, mixing of flocculant and washing of filter belts. The impact on the energy balance of the sugar mill is significant. At Bois-Rouge mill, studies are underway to reduce the water consumption by recycling low d.s. filtrate and by dry cleaning the filter belts.

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