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A new approach for acoustic localization of a fixed subsea transponder using a surface vessel equipped with a transceiver and global positioning system (GPS) based on a modified Hough transform (MHT) is presented. The MHT developed in this work is used to determine the latitude and longitude coordinates of a transponder utilizing acoustic range and GPS data gathered by the surface vessel while traveling...
This paper presents the conceptualization proposed by Ignacio Matte Blanco of the functioning of conscious and unconscious thinking. In his original view the two ways of thinking are conceived as two distinct logics, “symmetrical” and “asymmetrical” logics. In this study the fundamentals of his concepts are identified and re-elaborated in a more formal way, with the aim of developing an operational...
A keyword-based query is not sufficient for retrieving presentations. We assume that episodic memories about authoring slides and giving a presentation can be used for query because users easily recall and recognize slides associated with such memories. In this study, we present slide retrieval based on research episode networks that are a network composed of slides, episodic information and the links...
This paper presents a flexible shape-based texture analysis method by investigating the co-occurrence patterns of shapes. More precisely, a texture image is represented by a tree of shapes, each of which is associated with several attributes. The modeling of texture is thus converted to characterize the tree of shapes. To this aim, we first learn a set of co-occurrence patterns of shapes from texture...
Huge variety of medicine cures diseases. But unlabeled pills sometimes confuse people, even causing adverse drug events. This paper introduces a high accuracy automatic pill recognition method based on pill imprint which is a main discriminative factor between different pills. To describe the imprint information clearly, we propose a Two-step Sampling Distance Sets (TSDS) descriptor based on Distance...
Classical adaptive mathematical morphology is based on operators which locally adapt the structuring elements to the image properties. Connected morphological operators act on the level of the flat zones of an image, such that only flat zones are filtered out, and hence the object edges are preserved. Area opening (resp. area closing) is one of the most useful connected operators, which filters out...
This paper proposes a method to align a set of images captured from multiple view points. Traditional methods using image warps parameterized by global transformations suffer from the problem of misalignment due to parallax effects induced by camera motions between images and depth variations of the scene. Our method parameterizes warps using mesh deformation and achieves spatially-varying transformations...
The past twenty years has seen the explosion of the "shape zoo": myriad shape representations, each with pros and cons. Of the varied denizens, distance transforms and density function shape representations have proven to be the most utile. Distance transforms inherit the numerous geometric advantages of implicit curve representations while density functions are unmatched in their approach...
This paper presents a segmentation methodology of abdominal axial CT images. The aim of the study is to determine the location of mesenteric area from the axial images so the organs enclosed within can be localized precisely for diagnostic purposes. The challenge confronted here is that there is no a certain deterministic shape of abdominal organs. The methodology implemented here utilizes a curvelets...
This paper considers the problem of script and nature identification at word level. We introduce Pyramid Histogram of Oriented Gradients (PHOG) features which have been employed successfully for discriminating between handwritten and machine-printed Arabic and Latin scripts. Most of the image features, used in previous identification system, are not effective to capture differences between these scripts...
Image matching is a key issue in Vision-Based UAV navigation problems. This paper presents an affine and rotation-invariant SIFT features descriptor for matching UAV image with satellite images. The SIFT and ASIFT algorithm are nowadays widely applied for robust image matching, but it also has a high computational complexity. SURF is used for real-time UAV position estimation but is not satisfied...
To produce an immersive 3D experience on multi-projector 3D display while avoiding pseudoscopic phenomenon, one of the key is how to acquire or generate source images set of projector array. Aiming at displaying characteristics of multi-projector 3D display, our study found that common rendering algorithm can be modified to suit for multi-projector 3D display condition, just need to modify the projection...
This paper presents several methods to improve the existing algorithm of rendering batik cracks. Experiments show that better visual features of batik cracks can be simulated and better real-time performances of algorithm can be achieved by using the following four ways including the distance transform algorithm based on flooding method which needs less calculation, the probabilistic algorithm of...
There is an urgent need for reliable and efficient systems for off-line automatic reading of machine printed Arabic texts. A partial list of applications that may use such system includes searching and reading in scanned books and manuscript as a part of digital libraries; recognizing text on digitized maps, vehicle license plates, road signs and others. In this research we aim to contribute to the...
Biometrics-based hand authentication is among the most popular biometrics used to automatically characterize a person especially in forensic applications. Hand recognition systems are able to confirm or deny the identity of a claimed person because they do not cause anxiety for the users. However, different individuals may have almost similar hands. Therefore, the performance of the hand verification...
The local feature descriptor called SIFT, is one of the most widely used descriptors. The keypoints found with RSIFT and describe them in a standard way, which makes them invariant to the size changes, rotation, position, scale, and so on. These are quite powerful features and are used in a variety of tasks. This local feature SIFT descriptor gives potential key points, which are extracted from the...
This paper proposes a new approach for non-rigid structure from motion with occlusion, based on sparse representation. We introduce sparse transform to the joint estimation of 3D shapes and motions. 3D shape trajectory space is fit by wavelet basis to achieve better modeling of complex motion. We address the occlusion problem based on the latest developments on sparse representation: matrix completion,...
A new method for mango detection is presented in this paper. This method is based on preprocessing operators on image which includes converting to gray image, finding edges, calculating distances to edges, opening morphology and converting to binary color image. To take advantage of oval shaped mango fruit, we apply Randomized Hough Transform method to detect potential places for mango fruit in input...
Identification and count of orchard pests is very important in monitoring orchard pest population. The pests trapped by high-voltage grid show different postures and incomplete bodies, which increase the difficulty of image automated identification. Currently, most researches of pest image identification focus on feature extraction based on standard posture samples, without considering the influence...
Due to a variety of accidents, banknotes may be broken into several fragments. These fragments are usually stained, burned, partially lost, and twisted, which makes banknote reconstruction a hard problem. Since the fragments are always not intact, the traditional edge and texture based fragment assembling methods cannot be applied here. In this paper, we develop a framework for banknote reconstruction...
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