A novel Vector Quantization (VQ) technique for encoding the Bi-orthogonal wavelet decomposed image using hybrid Adaptive Differential Evolution (ADE) and a Pattern Search optimization algorithm (hADEPS) is proposed. ADE is a modified version of Differential Evolution (DE) in which mutation operation is made adaptive based on the ascending/descending objective function or fitness value and tested on twelve numerical benchmark functions and the results are compared and proved better than Genetic Algorithm (GA), ordinary DE and FA. ADE is a global optimizer which explore the global search space and PS is local optimizer which exploit a local search space, so ADE is hybridized with PS. In the proposed VQ, in a codebook of codewords, 62.5% of codewords are assigned and optimized for the approximation coefficients and the remaining 37.5% are equally assigned to horizontal, vertical and diagonal coefficients. The superiority of proposed hybrid Adaptive Differential Evolution and Pattern Search (hADE-PS) optimized vector quantization over DE is demonstrated. The proposed technique is compared with DE based VQ and ADE based quantization and with standard LBG algorithm. Results show higher Peak Signal-to-Noise Ratio (PSNR) and Structural Similiraty Index Measure (SSIM) indicating better reconstruction.
{"title":"SAR IMAGE COMPRESSION USING ADAPTIVE DIFFERENTIAL EVOLUTION AND PATTERN SEARCH BASED K-MEANS VECTOR QUANTIZATION","authors":"K. Chiranjeevi, U. Jena","doi":"10.5566/IAS.1611","DOIUrl":"https://doi.org/10.5566/IAS.1611","url":null,"abstract":"A novel Vector Quantization (VQ) technique for encoding the Bi-orthogonal wavelet decomposed image using hybrid Adaptive Differential Evolution (ADE) and a Pattern Search optimization algorithm (hADEPS) is proposed. ADE is a modified version of Differential Evolution (DE) in which mutation operation is made adaptive based on the ascending/descending objective function or fitness value and tested on twelve numerical benchmark functions and the results are compared and proved better than Genetic Algorithm (GA), ordinary DE and FA. ADE is a global optimizer which explore the global search space and PS is local optimizer which exploit a local search space, so ADE is hybridized with PS. In the proposed VQ, in a codebook of codewords, 62.5% of codewords are assigned and optimized for the approximation coefficients and the remaining 37.5% are equally assigned to horizontal, vertical and diagonal coefficients. The superiority of proposed hybrid Adaptive Differential Evolution and Pattern Search (hADE-PS) optimized vector quantization over DE is demonstrated. The proposed technique is compared with DE based VQ and ADE based quantization and with standard LBG algorithm. Results show higher Peak Signal-to-Noise Ratio (PSNR) and Structural Similiraty Index Measure (SSIM) indicating better reconstruction.","PeriodicalId":49062,"journal":{"name":"Image Analysis & Stereology","volume":"1 1","pages":"35-54"},"PeriodicalIF":0.9,"publicationDate":"2018-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90192305","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Li Wang, Yong Tang, Kejun Kang, Zhiqiang Chen, R. Peng, Zheng-Wei Yang, Guoquan Liu
This review article introduces the formation and development of stereology in China under the background of the development of international stereology. In the early 1970s, some stereological monographs and collections were introduced into China, and Chinese scholars began to understand, study and promote stereology knowledge. Meanwhile, the widespread use of image analysis systems has contributed to the spread of stereology in China. On the other hand, academic exchanges and personnel training have played a catalytic role in the formation of stereology in China. According to China National Knowledge Infrastructure (CNKI) statistics, the number and impact of Chinese papers in stereology continues to grow during the past 30 years. After in-depth discussion, Chinese scholars have adopted a broader definition of stereology. With economic development and technological progress, China has great potential to develop, promote and apply the stereological methods and the related technologies.
{"title":"A HISTORY OF THE STEREOLOGY IN CHINA","authors":"Li Wang, Yong Tang, Kejun Kang, Zhiqiang Chen, R. Peng, Zheng-Wei Yang, Guoquan Liu","doi":"10.5566/IAS.1791","DOIUrl":"https://doi.org/10.5566/IAS.1791","url":null,"abstract":"This review article introduces the formation and development of stereology in China under the background of the development of international stereology. In the early 1970s, some stereological monographs and collections were introduced into China, and Chinese scholars began to understand, study and promote stereology knowledge. Meanwhile, the widespread use of image analysis systems has contributed to the spread of stereology in China. On the other hand, academic exchanges and personnel training have played a catalytic role in the formation of stereology in China. According to China National Knowledge Infrastructure (CNKI) statistics, the number and impact of Chinese papers in stereology continues to grow during the past 30 years. After in-depth discussion, Chinese scholars have adopted a broader definition of stereology. With economic development and technological progress, China has great potential to develop, promote and apply the stereological methods and the related technologies.","PeriodicalId":49062,"journal":{"name":"Image Analysis & Stereology","volume":"10 1","pages":"9-19"},"PeriodicalIF":0.9,"publicationDate":"2018-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83665613","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In dermatology, one of the most common causes of skin abnormality is an unusual change in skin lesion structure which may exhibit very subtle physical deformation of its 3D shape. However the geometrical sensitivity of current cost-effective inspection and measurement methods may not be sufficient to detect such small progressive changes in skin lesion structure at micro-scale. Our proposed method could provide a low-cost, non-invasive solution by a compact system solution to overcome these shortcomings by using close-range photogrammetric imaging techniques to build a 3D surface model for a continuous observation of subtle changes in skin lesions and other features.
{"title":"3D NON-INVASIVE INSPECTION OF THE SKIN LESIONS BY CLOSE-RANGE AND LOW-COST PHOTOGRAMMETRIC TECHNIQUES","authors":"A. Orun, E. Goodyer, Geoff Smith","doi":"10.5566/IAS.1730","DOIUrl":"https://doi.org/10.5566/IAS.1730","url":null,"abstract":"In dermatology, one of the most common causes of skin abnormality is an unusual change in skin lesion structure which may exhibit very subtle physical deformation of its 3D shape. However the geometrical sensitivity of current cost-effective inspection and measurement methods may not be sufficient to detect such small progressive changes in skin lesion structure at micro-scale. Our proposed method could provide a low-cost, non-invasive solution by a compact system solution to overcome these shortcomings by using close-range photogrammetric imaging techniques to build a 3D surface model for a continuous observation of subtle changes in skin lesions and other features.","PeriodicalId":49062,"journal":{"name":"Image Analysis & Stereology","volume":"24 1","pages":"63-70"},"PeriodicalIF":0.9,"publicationDate":"2018-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86591347","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Planar tessellation structures occur in material science, geology (in rock formations), physics (of foams, for example), biology (especially in epithelial studies) and in other sciences. Their mathematical and statistical study has many aspects to consider. In this paper, line-segments which are either a tessellation edge or a finite union of edges are studied. Our focus is on a sub-class of such line-segments – those we call M-segments – that are not contained in a longer union of edges. These encompass the so-called I-segments that have arisen in many recent tessellation models. We study the expected numbers of edges and cell-sides contained in these M-segments, and the prevalence of these entities. Many examples and figures, including some based on tessellation nesting and superposition, illustrate the theory. M-segments are much more prevalent when a tessellation is not side-to-side, so our paper has theoretical connections with the recent IAS paper by Cowan and Thale (2014); that paper characterised non side-to-side tessellations.
{"title":"LINE SEGMENTS WHICH ARE UNIONS OF TESSELLATION EDGES","authors":"R. Cowan, V. Weiß","doi":"10.5566/IAS.1621","DOIUrl":"https://doi.org/10.5566/IAS.1621","url":null,"abstract":"Planar tessellation structures occur in material science, geology (in rock formations), physics (of foams, for example), biology (especially in epithelial studies) and in other sciences. Their mathematical and statistical study has many aspects to consider. In this paper, line-segments which are either a tessellation edge or a finite union of edges are studied. Our focus is on a sub-class of such line-segments – those we call M-segments – that are not contained in a longer union of edges. These encompass the so-called I-segments that have arisen in many recent tessellation models. We study the expected numbers of edges and cell-sides contained in these M-segments, and the prevalence of these entities. Many examples and figures, including some based on tessellation nesting and superposition, illustrate the theory. M-segments are much more prevalent when a tessellation is not side-to-side, so our paper has theoretical connections with the recent IAS paper by Cowan and Thale (2014); that paper characterised non side-to-side tessellations.","PeriodicalId":49062,"journal":{"name":"Image Analysis & Stereology","volume":"56 1","pages":"83-98"},"PeriodicalIF":0.9,"publicationDate":"2018-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88413266","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Elin Farnell, Shawn C. Farnell, Jen-Mei Chang, Madison Hoffman, R. Belton, K. Keaty, S. Lederman, C. Salafia
Placental chorionic surface vascular networks (PCSVNs) are essential high-capacitance, low-resistance distribution and drainage networks, and are hence important to placental function and to fetal and newborn health. It was hypothesized that variations in the PCSVN structure may reflect both the overall effects of genetic and environmentally regulated variations in branching morphogenesis within the conceptus and the fetus’s vital organs. A critical step in PCSVN analysis is the extraction of blood vessel structure, which has only been done manually through a laborious process, making studies in large cohorts and applications in clinical settings nearly impossible. The large variation in the shape, color, and texture of the placenta presents significant challenges to both machine and human to accurately extract PCSVNs. To increase the visibility of the vessels, colored paint can be injected into the vascular networks of placentas, allowing PCSVNs to be manually traced with a high level of accuracy. This paper provides a proof-of-concept study to explain the geometric differences between manual tracings of paint-injected and un-manipulated PCSVNs under the framework of a shape-context model. Under this framework, paint-injected and un-manipulated tracings of PCSVNs can be matched with nearly 100% accuracy. The implication of our results is that the manual tracing protocol yields faithful PCSVN representations modulo a set of affine transformations, making manual tracing a reliable method for studying PCSVNs. Our work provides assurance to a new pre-processing approach for studying vascular networks by ways of dye-injection in medical imaging problems.
{"title":"A SHAPE-CONTEXT MODEL FOR MATCHING PLACENTAL CHORIONIC SURFACE VASCULAR NETWORKS","authors":"Elin Farnell, Shawn C. Farnell, Jen-Mei Chang, Madison Hoffman, R. Belton, K. Keaty, S. Lederman, C. Salafia","doi":"10.5566/IAS.1708","DOIUrl":"https://doi.org/10.5566/IAS.1708","url":null,"abstract":"Placental chorionic surface vascular networks (PCSVNs) are essential high-capacitance, low-resistance distribution and drainage networks, and are hence important to placental function and to fetal and newborn health. It was hypothesized that variations in the PCSVN structure may reflect both the overall effects of genetic and environmentally regulated variations in branching morphogenesis within the conceptus and the fetus’s vital organs. A critical step in PCSVN analysis is the extraction of blood vessel structure, which has only been done manually through a laborious process, making studies in large cohorts and applications in clinical settings nearly impossible. The large variation in the shape, color, and texture of the placenta presents significant challenges to both machine and human to accurately extract PCSVNs. To increase the visibility of the vessels, colored paint can be injected into the vascular networks of placentas, allowing PCSVNs to be manually traced with a high level of accuracy. This paper provides a proof-of-concept study to explain the geometric differences between manual tracings of paint-injected and un-manipulated PCSVNs under the framework of a shape-context model. Under this framework, paint-injected and un-manipulated tracings of PCSVNs can be matched with nearly 100% accuracy. The implication of our results is that the manual tracing protocol yields faithful PCSVN representations modulo a set of affine transformations, making manual tracing a reliable method for studying PCSVNs. Our work provides assurance to a new pre-processing approach for studying vascular networks by ways of dye-injection in medical imaging problems.","PeriodicalId":49062,"journal":{"name":"Image Analysis & Stereology","volume":"39 1","pages":"55-62"},"PeriodicalIF":0.9,"publicationDate":"2018-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72552074","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper addresses the characterization of spatial arrangements of fringes in catalysts imaged by High Resolution Transmission Electron Microscopy (HRTEM). It presents a statistical model-based approach for analyzing these fringes. The proposed approach involves Fractional Brownian Field (FBF) and 2-D AutoRegressive (AR) modeling, as well as morphological analysis. The originality of the approach consists in identifying the image background as an FBF, subtracting this background, modeling the residual by 2-D AR so as to capture fringe information and, finally, discriminating catalysts from fringe characterizations obtained by morphological analysis. The overall analysis is called ARFBF (Auto-Regressive Fractional Brownian Field) based morphology characterization.
{"title":"ARFBF morphological analysis - Application to the discrimination of catalyst active phases","authors":"Z. Tan, M. Moreaud, O. Alata, A. Atto","doi":"10.5566/IAS.1624","DOIUrl":"https://doi.org/10.5566/IAS.1624","url":null,"abstract":"This paper addresses the characterization of spatial arrangements of fringes in catalysts imaged by High Resolution Transmission Electron Microscopy (HRTEM). It presents a statistical model-based approach for analyzing these fringes. The proposed approach involves Fractional Brownian Field (FBF) and 2-D AutoRegressive (AR) modeling, as well as morphological analysis. The originality of the approach consists in identifying the image background as an FBF, subtracting this background, modeling the residual by 2-D AR so as to capture fringe information and, finally, discriminating catalysts from fringe characterizations obtained by morphological analysis. The overall analysis is called ARFBF (Auto-Regressive Fractional Brownian Field) based morphology characterization.","PeriodicalId":49062,"journal":{"name":"Image Analysis & Stereology","volume":"18 1","pages":"21-34"},"PeriodicalIF":0.9,"publicationDate":"2018-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75610721","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The workshops on stochastic geometry, stereology and image analysis have been held every second year since 1981. Over the years, the workshops have increased in size and in impact too. Nowadays, the workshops have developed into the main occasion to promote recent advances in stochastic geometry, stereology and image analysis.
{"title":"THE WORKSHOPS ON STOCHASTIC GEOMETRY, STEREOLOGY AND IMAGE ANALYSIS","authors":"E. B. Jensen, H. Gundersen","doi":"10.5566/ias.1755","DOIUrl":"https://doi.org/10.5566/ias.1755","url":null,"abstract":"The workshops on stochastic geometry, stereology and image analysis have been held every second year since 1981. Over the years, the workshops have increased in size and in impact too. Nowadays, the workshops have developed into the main occasion to promote recent advances in stochastic geometry, stereology and image analysis.","PeriodicalId":49062,"journal":{"name":"Image Analysis & Stereology","volume":"1 1","pages":"179-185"},"PeriodicalIF":0.9,"publicationDate":"2017-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82890567","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Nowadays it is difficult to list all disciplines where stereology is applied, starting from biology and medicine, through materials science, geology and agriculture, up to military systems, biometry, meteorology, geography, physics, astronomy, sophisticated vision systems and even history or art sciences. The strength of the stereology as a scientific discipline lies in its multidisciplinary character and even now, in the century of the digital revolution, doesn’t become obsolete. Over the last five decades stereology has responded to the challenges of the times. Its creators and enthusiasts have adapted this field of science to the current challenges existing practically everywhere if only an image (formally: section or projection) is a source of information.
{"title":"HISTORY OF STEREOLOGY","authors":"A. Gądek-Moszczak","doi":"10.5566/IAS.1867","DOIUrl":"https://doi.org/10.5566/IAS.1867","url":null,"abstract":"Nowadays it is difficult to list all disciplines where stereology is applied, starting from biology and medicine, through materials science, geology and agriculture, up to military systems, biometry, meteorology, geography, physics, astronomy, sophisticated vision systems and even history or art sciences. The strength of the stereology as a scientific discipline lies in its multidisciplinary character and even now, in the century of the digital revolution, doesn’t become obsolete. Over the last five decades stereology has responded to the challenges of the times. Its creators and enthusiasts have adapted this field of science to the current challenges existing practically everywhere if only an image (formally: section or projection) is a source of information.","PeriodicalId":49062,"journal":{"name":"Image Analysis & Stereology","volume":"26 1","pages":"151-152"},"PeriodicalIF":0.9,"publicationDate":"2017-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79103804","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In the paper, the authors present the history of stereology development in Poland from the 1930s until now. The authors concentrate on the talented scholars whose hard work, dedication, and enthusiasm contributed to popularizing stereological methods of quantitative assessment. From Hugo Steinhaus to now, the evolution and increase in popularity of stereology is briefly shown. The most significant achievements are described in more detail.
{"title":"Polish stereology - a historical review","authors":"A. Gądek-Moszczak, P. Matusiewicz","doi":"10.5566/IAS.1808","DOIUrl":"https://doi.org/10.5566/IAS.1808","url":null,"abstract":"In the paper, the authors present the history of stereology development in Poland from the 1930s until now. The authors concentrate on the talented scholars whose hard work, dedication, and enthusiasm contributed to popularizing stereological methods of quantitative assessment. From Hugo Steinhaus to now, the evolution and increase in popularity of stereology is briefly shown. The most significant achievements are described in more detail.","PeriodicalId":49062,"journal":{"name":"Image Analysis & Stereology","volume":"100 1","pages":"207-221"},"PeriodicalIF":0.9,"publicationDate":"2017-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79339359","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Stereology is the science of geometric sampling, with applications to the statistical analysis of microstructures in biology and materials science. Subsidiary disciplines are image analysis, quantitative microscopy, and radiology. This survey is organized chronologically within a series of topics which cover most aspects of stereology. Each topic is described informally to make it accessible to scientists of different disciplines.
{"title":"STEREOLOGY: A HISTORICAL SURVEY","authors":"L. Cruz-Orive","doi":"10.5566/IAS.1767","DOIUrl":"https://doi.org/10.5566/IAS.1767","url":null,"abstract":"Stereology is the science of geometric sampling, with applications to the statistical analysis of microstructures in biology and materials science. Subsidiary disciplines are image analysis, quantitative microscopy, and radiology. This survey is organized chronologically within a series of topics which cover most aspects of stereology. Each topic is described informally to make it accessible to scientists of different disciplines.","PeriodicalId":49062,"journal":{"name":"Image Analysis & Stereology","volume":"57 1","pages":"153-177"},"PeriodicalIF":0.9,"publicationDate":"2017-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86571958","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：