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In this paper, a method combining PnP and OI algorithms is developed to measure the pose of a humanoid robot in high precision in order to play table tennis. The PnP-based algorithm is employed to obtain the rough pose, which is taken as the initial value of the OI algorithm. The OI algorithm optimizes the result in order to ensure the orthogonal orientation matrix of the pose. Considering the real-time,...
Nonuniformity correction plays an important role in improving image quality of the infrared focal plane array. A self-adaptive nonuniformity correction algorithm for infrared images combined with two-point correction along the rim is proposed in this paper. With the help of perimeter blackbody in low and high temperature, two-point correction is executed initially to perimeter detectors. Then based...
In this paper, we propose an approach for detecting line segments in real-time by merging fixed-size short line segments. In many hardware systems, a Hough Transform has been used for detecting line segments. The Hough Transform is robust to noises, but it requires large memory space, and more space is required for images with higher resolution. Line detection is a primitive task which is frequently...
In this paper we present a morphologic edge detector using multidirectional structuring element approach for detecting edges of complex images under noisy condition. The experimental results show that the proposed edge detector has the desirable properties that a good edge detector should have. Comparative study reveals its detection performance exceeds conventional edge detectors and other morphologic...
Edge detection is a critical element in image processing, since edges contain a major function of image information. The function of edge detection is to identify the boundaries of homogeneous regions in an image based on properties such as intensity and texture. Many edge detection algorithms have been developed based on computation of the intensity gradient vector, which, in general, is sensitive...
Edge detection is important step in image processing. In spite of two decade of research the need for general purpose edge detector is still felt. Threshold decision is the key uncertainty in the edge detection algorithms. Soft computing approach represents a good mathematical framework to deal with uncertainty of information. In this work, we used fuzzy logic for automatic thresholding and generated...
The 50 μm microvias of an defective embedded device were inspected non-destructively by both highly resolving microfocus computed tomography and improved digital X-ray imaging. Voids were found within the via fills and open interconnections between vias and pads were detected by the X-ray inspections. These defects could be verified and visualised in three dimensions by nanofocus CT.
In this paper, we propose a multi-scale matching approach to address the data association problem in vision-based simultaneous localization and mapping (SLAM). Data association in vision-based SLAM can be simply represented as a feature correspondence problem related to two features observed in different positions under different imaging conditions. We apply an improved Harris detector to automatically...
In 2010, Chen et al. proposed a data hiding scheme with high payload and good visual quality. The edge information is detected and most of the secret bits are embedded into the edge area. An index pixel is chosen to record the edge information for each block. However, the embedding space will decrease because of the index pixel. Thus, we proposed a data hiding that enhances the visual quality based...
Nowadays there exists a large variety of aspect ratios used for both image rendering (e.g. print media, TV, cinema screens etc.) and image acquisition devices (e.g. still and video cameras, scanners etc.). In order to maintain the image's original aspect ratio when adjusting for a different media, some level of cropping may be required, but the automatic zoom and crop method may not produce satisfactory...
Image segmentation refers to a process by which a raw input image is partitioned into non-overlapping regions such that each region is homogenous and connected, and the union of no two spatially adjacent regions is homogeneous. The objective of segmentation is to simplify and change the representation of an image into something that is more meaningful and easier to analyze. This paper reviews the...
This paper presents a novel approach for interest point and region detection which is invariant to affine transformations. Such transformations introduce significant changes in the point location as well as in the scale and the shape of the neighborhood of an interest point. Our approach allows to solve for these problems simultaneously. The approach is based on three key ideas: 1) Interest points...
This paper proposes a image enhancement and segmentation method for mammographic images, which is based on the pixel intensity transformation, spatial filtering, edge detection, and region growing techniques. This method consists of two approaches. The first approach is applying intensity transformation, logarithmic transformation, contrast stretching, histogram equalization and spatial filtering...
Matching region selection is one of the bases of underwater terrain-aided navigation technology. Boundary division of topographic statistical map, which provides convenience to matching region selection and route planning, can be accomplished quickly when using image edge detection on it. This article firstly introduced the characteristics of edge detection operators; the grayscale image was transformed...
Face detection is a challenging problem in the field of computer vision and a key component of machine intelligence. Viola and Jones put forward a face detection framework in 2001 that can process images extremely rapidly while achieving high detection rates. This paper extends the framework to handle rotated faces through a simple improvement. The method is to rotate the detected sub-windows by 30...
The extraction and matching of feature points is very important for measuring deformation fields of MR images. Current methods cannot extract and match enough feature points correctly when non-rigid soft biological tissues are deformed in MR images. The authors have therefore used SURF to extract feature points from initial MR images, utilizing every point in deformed MR images as feature points....
A novel digital watermark against RST distortion based on SURF is proposed. The algorithm is the second watermark, SURF is fast than SIFT, so that the algorithm is faster, and the ability against RST is nearly the same with feature based SIFT. The watermark algorithm use odd-even detector properly to avoid the distortion procedure when watermark is embedded.
Vision based navigation and path planning for the Indian Lunar Rover calls for Stereo navigation cameras. These Navcams proposed to be mounted at the front face of the Rover, give information of obstacles like boulders/ craters/ pits on the path ahead. By analyzing the scene captured by these Navcams, the trajectory of the Rover will be planned and executed. The design of a miniature Navcam to operate...
In this paper, we present a novel binarization method for infrared images. Such images are characterized by low contrast, fuzzy edges and more complex with their histogram distributions. If we only apply a global or local threshold, these images will lose a lot of edges and detail information, or ignore the contours of objects. To address this issue, the proposed method combines the advantages of...
The detection of license plate region is the most important part of a vehicle's license plate recognition process followed by plate segmentation and optical character recognition. Edge detection is commonly used in license plate detection as a preprocessing technique. This paper compares the performance of the image enhancement filters when used in edge detection algorithms combined with connected...
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