IMAGE ENGINEERING AND RELATED PUBLICATIONS

2002 ◽  
Vol 02 (03) ◽  
pp. 441-452 ◽  
Author(s):  
Y. J. ZHANG
Keyword(s):  
Image Processing ◽  
Image Analysis ◽  
Image Understanding ◽  
New Classification ◽  
The Status ◽  
Definition Of ◽  
Statistical Survey

Image engineering is a discipline that includes image processing, image analysis, image understanding, and the applications of these techniques. To promote its development and evolvement, this paper provides a well-regulated explanation of the definition of image engineering, as well as its intention and extension. It also introduces a new classification of the theories of image engineering, and the applications of image technology. A thorough statistical survey on the publications in this discipline is carried out, and an analysis and discussion of the statistics from the classification results are presented. This work shows a general and an up-to-date picture of the status, progress, trends and application areas of image engineering.

scholarly journals Geometric and Topological Bases of a New Classification of Wood Vascular Tissues Part 1: Shape and Arrangement Classifications of Vessels

2021 ◽  
Vol 13 (14) ◽  
pp. 7545
Author(s):  
Nikolai Bardarov ◽  
Vladislav Todorov ◽  
Nicole Christoff
Keyword(s):  
Computer Vision ◽  
Detailed Analysis ◽  
Tree Species ◽  
Complete Solution ◽  
New Classification ◽  
Topological Characteristics ◽  
Definition Of ◽  
Wood Science ◽  
Quantitative Indicators

The need to identify wood by its anatomical features requires a detailed analysis of all the elements that make it up. This is a significant problem of structural wood science, the most general and complete solution of which is yet to be sought. In recent years, increasing attention has been paid to the use of computer vision methods to automate processes such as the detection, identification, and classification of different tissues and different tree species. The more successful use of these methods in wood anatomy requires a more precise and comprehensive definition of the anatomical elements, according to their geometric and topological characteristics. In this article, we conduct a detailed analysis of the limits of variation of the location and grouping of vessels in the observed microscopic samples. The present development offers criteria and quantitative indicators for defining the terms shape, location, and group of wood tissues. It is proposed to differentiate the quantitative indicators of the vessels depending on their geometric and topological characteristics. Thus, with the help of computer vision technics, it will be possible to establish topological characteristics of wood vessels, the extraction of which would be used to develop an algorithm for the automatic classification of tree species.

scholarly journals CONSTITUTIVE EVALUATIVE CONCEPTS IN CRIMINAL LAW: CONCEPT, TYPES, FUNCTIONS, ESSENTIAL FEATURES

2021 ◽  
Vol 31 (3) ◽  
pp. 450-458
Author(s):  
D.R. Kasimov
Keyword(s):  
Russian Federation ◽  
Criminal Law ◽  
Structural Features ◽  
Criminal Code ◽  
New Classification ◽  
Functional Features ◽  
The Russian Federation ◽  
Definition Of ◽  
Cognitive Meaning

The article provides a new classification of evaluative concepts enshrined in the Criminal Code of the Russian Federation, indicates the purpose of its existence in the doctrine of criminal law. The article describes the definition of constitutive evaluative concepts that are determined as legislatively vague evaluative concepts that, by their normative-essential and functionally-substantive characteristics, are absolute, necessarily alternative, or accompanying structural features of a crime. Through the prism of the features of constitutive evaluative concepts, their varieties, essential features and functions are distinguished; interpretation (including cognitive) meaning is revealed. Moreover, the interpretation features of these evaluative concepts are considered in two interdependent aspects: the structurally-essential (associated with the types, attributes and functions of constitutive evaluative concepts) and the procedural-substantive (associated with the informative and informative activities of the interpreter). It is indicated that the interpretation features of an structurally-essential nature are, firstly, in the composition and criminogenic properties of constitutive evaluative concepts, and secondly, in the semantic structural composition, indicating a meaningful dependence of the evaluative concept on the accompanying structural features of a crime, and thirdly, legally significant functional features. At the same time, interpretative features of a procedural-substantive order are also highlighted, which include, firstly, the need for a paramount definition of the criminogenic determinant, designed to establish the structural features of a crime in a perfect act, and secondly, in an increased degree of normative casuistic derivative of these evaluative concepts. The author comes to the conclusion that constitutive evaluative concepts are interpreted according to the same logical-linguistic and legal laws, but with some marked structurally meaningful features.

scholarly journals CLASSIFICATION OF TEXTURES WITH AND WITHOUT ROTATION ANGLES: A DAUBECHIES WAVELET BASED APPROACH

2014 ◽  
pp. 49-54
Author(s):  
SHAIKHJI ZAID M ◽  
J B JADHAV ◽  
V N KAPADIA
Keyword(s):  
Image Processing ◽  
Texture Classification ◽  
Daubechies Wavelet ◽  
Statistical Features ◽  
Visual Texture ◽  
Multi Resolution Analysis ◽  
Real Objects ◽  
Resolution Analysis ◽  
Definition Of

Textures play important roles in many image processing applications, since images of real objects often do not exhibit regions of uniform and smooth intensities, but variations of intensities with certain repeated structures or patterns, referred to as visual texture. The textural patterns or structures mainly result from the physical surface properties, such as roughness or oriented structured of a tactile quality. It is widely recognized that a visual texture, which can easily perceive, is very difficult to define. The difficulty results mainly from the fact that different people can define textures in applications dependent ways or with different perceptual motivations, and they are not generally agreed upon single definition of texture [1]. The development in multi-resolution analysis such as Gabor and wavelet transform help to overcome this difficulty. In this paper it describes that, texture classification using Wavelet Statistical Features (WSF), Wavelet Co-occurrence Features (WCF) and a combination of wavelet statistical features and co-occurrence features of wavelet transformed images with different feature databases can results better [2]. Several Image degrading parameters are introduced in the image to be classified for verifying the features. Wavelet based decomposing is used to classify the image with code prepared in MATLAB.

Kambin’s triangle: definition and new classification schema

2020 ◽  
Vol 32 (3) ◽  
pp. 390-398 ◽  
Author(s):  
Andrew A. Fanous ◽  
Luis M. Tumialán ◽  
Michael Y. Wang
Keyword(s):  
Classification Scheme ◽  
New Classification ◽  
Disc Space ◽  
Anatomical Structures ◽  
Articular Process ◽  
3D Space ◽  
Uniform Definition ◽  
Original Report ◽  
Definition Of

Kambin’s triangle is an anatomical corridor used to access critical structures in a variety of spinal procedures. It is considered a safe space because it is devoid of vascular and neural structures of importance. Nonetheless, there is currently significant variation in the literature regarding the exact dimensions and anatomical borders of Kambin’s triangle. This confusion was originally caused by leaving the superior articular process (SAP) unassigned in the description of the working triangle, despite Kambin identifying that structure in his original report. The SAP is the most relevant structure to consider when accessing the transforaminal corridor. Leaving the SAP unassigned has led to an open-handed application of the term “Kambin’s triangle.” That single eponym currently has two potential meanings, one meaning for endoscopic surgeons working through a corridor in the intact spine and a second meaning for surgeons accessing the disc space after a complete or partial facetectomy. Nevertheless, an anatomical corridor should have one consistent definition to clearly communicate techniques and use of instrumentation performed through that space. As such, the authors propose a new surgically relevant classification of this corridor. Assigning the SAP a border requires adding another dimension to the triangle, thereby transforming it into a prism. The term “Kambin’s prism” indicates the assignment of a border to all relevant anatomical structures, allowing for a uniform definition of the 3D space. From there, the classification scheme considers the expansion of the corridor and the extent of bone removal, with a particular focus on the SAP.

Image Classification Techniques

2021 ◽  
pp. 22-49
Author(s):  
Eugenio Vocaturo
Keyword(s):  
Image Analysis ◽  
Computing System ◽  
Recognition System ◽  
Automatic Recognition ◽  
Collective Interest ◽  
Transmission Of Information ◽  
Classification Tasks ◽  
Definition Of ◽  
New Generation

The image processing task, aimed at interpreting and classifying the contents of the images, has attracted the attention of researchers since the early days of computers. With the advancement of computing system technology, image categorization has found increasingly broader applications, covering new generation disciplines such as image analysis, object recognition, and computer vision, with applications quite general both in scientific and humanistic fields. The automatic recognition, description, and classification of the structures contained in the images are of fundamental importance in a vast set of scientific and engineering fields that require the acquisition, processing, and transmission of information in visual form. Classification tasks also include those related to the categorization of images, such as the construction of a recognition system, the representation of patterns, the selection and extraction of features, and the definition of automatic recognition methods. Image analysis is of collective interest and it is a hot topics of current research.

scholarly journals Aulacogens, the Donets Basin (Eastern Ukraine, Southwestern Russia), and the new classification of rifts: Towards a proper terminology

2012 ◽  
pp. 1-7
Author(s):  
Dmitry Ruban
Keyword(s):  
Broad Spectrum ◽  
Plate Tectonics ◽  
Present Knowledge ◽  
Donets Basin ◽  
New Classification ◽  
East European ◽  
Continental Rifts ◽  
Definition Of ◽  
Present Understanding

Some intra-cratonic basins are traditionally called ?aulacogens?. This term has persisted in the geoscience literature since its invention by Soviet geologists in the mid-20th century before the triumph of the plate tectonics, but its meaning has evolved. Attempts to change its meaning from descriptive to genetic have led to a broad spectrum of opinions on the definition of aulacogens. Some specialists related them to continental rifts, while others have restricted aulacogens to the only particular rift systems or peculiar stages in the evolution of young cratons. The Donets Basin is a typical aulacogen stretching across the southern margin of the East European Craton. A brief review of present knowledge of this basin shows that its nature is rather incompatible with the present understanding of aulacogens. Instead, the new classification of rifts offers a more precise terminology for its exact characteristics. It is suggested that the term ?aulacogen? should only be restricted to those basins for which it has been applied historically.

Measurement of Critical Dimensions of Cold Roll Formed Sections Using Digital Image Processing

2011 ◽  
Vol 473 ◽  
pp. 949-956 ◽  
Author(s):  
Ian Williams ◽  
Bez Shirvani ◽  
Jean Michael Mourier
Keyword(s):  
Image Processing ◽  
Image Analysis ◽  
Roll Forming ◽  
Critical Dimensions ◽  
Knowledge Based ◽  
Cold Roll ◽  
Steel Sections ◽  
Manual Processing ◽  
Traditional Image

A research investigation is presented which discusses the practicality of using several image processing and knowledge based techniques for the measurement and classification of cold rolled steel sections. Image analysis techniques can be applied to many different applications and assessing the quality and the accuracy of cold roll formed steel sections is no exception. The operations detailed within this paper are both traditional image processing methods and novel neural network based techniques which are combined together to give a bespoke alternative to the manual processing currently employed to test these sections. The results show the suitability of using image analysis and image processing to aid in the quality control of cold steel roll forming and initial tests have demonstrated great potential for this work.

Le Complément D'agent Introduit Par la Préposition de

1986 ◽  
Vol 10 (1) ◽  
pp. 153-172
Author(s):  
Charlotte Schapira
Keyword(s):  
New Classification ◽  
The Status ◽  
Syntactic Function

The purpose of this study is to draw attention on a syntactic function somewhat neglected till now in literature: the agent introduced by de in French. A reconsideration of the data led us to a new classification of the verbs admitting such an agent. Some other points (such as the status of this complement with the verbs accepting both direct and prepositional objects, or the affinity of the preposition with undeterminated objects) have been discussed, leading to conclusions different from those generally accepted in grammars and textbooks.

scholarly journals The good(ish), the bad, and the ugly: a tripartite classification of ecosystem trends

2010 ◽  
Vol 67 (4) ◽  
pp. 745-768 ◽  
Author(s):  
Alida Bundy ◽  
Lynne J. Shannon ◽  
Marie-Joëlle Rochet ◽  
Sergio Neira ◽  
Yunne-Jai Shin ◽  
...  
Keyword(s):  
Size Structure ◽  
Ecosystem Structure ◽  
Initial State ◽  
Resource Managers ◽  
Ecosystem Indicators ◽  
The Status ◽  
Commercial Species ◽  
Long Time ◽  
Definition Of

Abstract Bundy, A., Shannon, L. J., Rochet, M-J., Neira, S., Shin, Y-J., Hill, L., and Aydin, K. 2010. The good(ish), the bad, and the ugly: a tripartite classification of ecosystem trends. – ICES Journal of Marine Science, 67: 745–768. Marine ecosystems have been exploited for a long time, growing increasingly vulnerable to collapse and irreversible change. How do we know when an ecosystem may be in danger? A measure of the status of individual stocks is only a partial gauge of its status, and does not include changes at the broader ecosystem level, to non-commercial species or to its structure or functioning. Six ecosystem indicators measuring trends over time were collated for 19 ecosystems, corresponding to four ecological attributes: resource potential, ecosystem structure and functioning, conservation of functional biodiversity, and ecosystem stability and resistance to perturbations. We explored the use of a decision-tree approach, a definition of initial ecosystem state (impacted or non-impacted), and the trends in the ecosystem indicators to classify the ecosystems into improving, stationary, and deteriorating. Ecosystem experts classified all ecosystems as impacted at the time of their initial state. Of these, 15 were diagnosed as “ugly”, because they had deteriorated from an already impacted state. Several also exhibited specific combinations of trends indicating “fishing down the foodweb”, reduction in size structure, reduction in diversity and stability, and changed productivity. The classification provides an initial evaluation for scientists, resource managers, stakeholders, and the general public of the concerning status of ecosystems globally.

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