Circle detection is a critical issue in image analysis: it is undoubtedly a fundamental step in different application contexts, among them one of the most challenging is the detection of the ball in soccer game. Hough Transform based circle detector are largely used but there is a large open research area that attempt to provide more effective and less computationally expensive solutions based ...

Breast Cancer is the second most frequently diagnosed cancer, leading to cancer death worldwide. Early detection of breast cancer saves lives. Mammograms play an important tool in early detection of breast cancer. Cancer that originates from the breast tissue is called as Breast Cancer. Cancer originating from the inner lining of milk ducts is called as Ductal Carcinomas (70%). Cancer originati...

The ability to accurately track a ball is a critical issue in humanoid robot soccer, made difficult by processor limitations and resultant inability to process all available data from a high-definition image. This paper proposes a computationally efficient method of determining position and size of balls in a RoboCup environment, and compares the performance to two common methods: one utilising...

This paper proposes a novel algorithm called the sparse Hough transform, which is shown to have better performances than the standard Hough transform for sparse input data collected from a laser on a mobile robot. In the context of laser sensing and perception for autonomous ground robots, this paper studies performances of the sparse Hough transform and compares it with other segmentation and ...

Kanade [1] proposed a heuristic for interpreting shape from contour. To apply his heuristic, skewed symmetries have to be found. In this paper, an algorithm for finding skewed symmetries in a planar point set is proposed. The method requires a simple rotation and midpoint finding, followed by a Hough transform. A variant of the Hough transform is reported. It is based on interpreting it as a ro...

image recognition is one of the most important field in image processing that in recent decades had much attention .due to expansion of related fields with image processing and various application of this science in machine vision, military science, geography, aerospace and artificial intelligence and lots of other aspects, out stand the importance of this subject.one of the most important aspe...

We discuss Hough Transform, some of its key properties, a scheme of fast and complete calculation of the Hough Transform (similar to the Fast Fourier Transform), and an efficient implementation of this scheme on SIMD processors. We also demonstrate an application of the Fast Hough Transform in computer vision by the example of an automatic page orientation detection unit incorporated in an inte...

Iris localization is the most important part of iris recognition which involves the detection of iris boundaries in an image. A very important need of this effective security system is to overcome the rigid constraints necessitated by the practical implementation of such a system. There are a few existing techniques for iris segmentation in which iris detection using Circular Hough Transform is...

This paper pursues a statistical study of the Hough transform; the celebrated computer vision algorithm used to detect the presence of lines in a noisy image. We first study asymptotic properties of the Hough transform estimator, whose objective is to find the line that “best” fits a set of planar points. In particular, we establish strong consistency, rates of convergence and characterize the ...

Hough transform based methods for object detection work by allowing image features to vote for the location of the object. While this representation allows for parts observed in different training instances to support a single object hypothesis, it also produces false positives by accumulating votes that are consistent in location but inconsistent in other properties like pose, color, shape or ...