We presented in the paper a new tactic, the first thing we have done is extracting the points of descriptor, which it is used in pattern recognition, especially in detection of corner algorithm. Scales of samples (images), each image is tuned by a factor (scale), collect the corners, and collect the points of descriptor key in these collected corners, in other words; Hough Transform uses the collected descriptors for classification process, and classify each points of image to its equivalence class. Experimentally, by using MATLAB, we are shown high accuracy of recognition result on the selected samples of objects
This paper presents an object recognition technique based on projective geometry for industrial piec...
We developed a method to obtain corner points for healthier point matching using corner properties s...
The Hough Transform is a widely researched area of computer vision due to its unique promise for sha...
In this paper we developed a new approach to extract points descriptor used for pattern recognition ...
This paper presents a new technique for corner shape based object retrieval from a database. The pro...
This paper summarises recent work in the area of point pattern matching and introduces a new approac...
xxix, 208 leaves : ill. (some col.) ; 30 cm.PolyU Library Call No.: [THS] LG51 .H577P EIE 2002 ChauI...
In this paper we propose a novel method for shape analysis called HTS (Hough Transform Statistics), ...
Abstract The Hough Transform (HT) is an effective and popular technique for detecting image features...
The most visible feature that is more important to an image is the shape. Shape representation is a ...
Corners are very attractive features of many applications in human perception and computer vision. T...
In this paper, a composite descriptor for shape retrieval is proposed. The composite descriptor is o...
A failing of many grey-level corner detectors is that they do not extract most of the attributes of ...
Image matching is a fundamental step in several computer vision applications where the requirement i...
International Conference on Image Processing (ICIP'99), Kobe, Jpn, 24-28 October 1999In this paper, ...
This paper presents an object recognition technique based on projective geometry for industrial piec...
We developed a method to obtain corner points for healthier point matching using corner properties s...
The Hough Transform is a widely researched area of computer vision due to its unique promise for sha...
In this paper we developed a new approach to extract points descriptor used for pattern recognition ...
This paper presents a new technique for corner shape based object retrieval from a database. The pro...
This paper summarises recent work in the area of point pattern matching and introduces a new approac...
xxix, 208 leaves : ill. (some col.) ; 30 cm.PolyU Library Call No.: [THS] LG51 .H577P EIE 2002 ChauI...
In this paper we propose a novel method for shape analysis called HTS (Hough Transform Statistics), ...
Abstract The Hough Transform (HT) is an effective and popular technique for detecting image features...
The most visible feature that is more important to an image is the shape. Shape representation is a ...
Corners are very attractive features of many applications in human perception and computer vision. T...
In this paper, a composite descriptor for shape retrieval is proposed. The composite descriptor is o...
A failing of many grey-level corner detectors is that they do not extract most of the attributes of ...
Image matching is a fundamental step in several computer vision applications where the requirement i...
International Conference on Image Processing (ICIP'99), Kobe, Jpn, 24-28 October 1999In this paper, ...
This paper presents an object recognition technique based on projective geometry for industrial piec...
We developed a method to obtain corner points for healthier point matching using corner properties s...
The Hough Transform is a widely researched area of computer vision due to its unique promise for sha...