Shaik shafiulla basha (45 risultati)

Condizione: New.

Condizione: New.

Taschenbuch. Condizione: Neu. Diabetic Retinopathy | Automatic Detection of Diabetic Retinopathy in Retinal Images Using Neural Network | Shafiulla Basha Shaik (u. a.) | Taschenbuch | Englisch | 2021 | LAP LAMBERT Academic Publishing | EAN 9786203306064 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.…

Taschenbuch. Condizione: Neu. Implementation of Morphological Image Processing Operations | Shafiulla Basha Shaik | Taschenbuch | 112 S. | Englisch | 2015 | LAP LAMBERT Academic Publishing | EAN 9783659661860 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.…

Taschenbuch. Condizione: Neu. Application of Deep Learning | Vision-Based Discernment and Counting of Vehicles inLow Illumination Using Deep Learning | Shafiulla Basha Shaik (u. a.) | Taschenbuch | Englisch | 2022 | LAP LAMBERT Academic Publishing | EAN 9786204742427 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.…

Taschenbuch. Condizione: Neu. Deep Learning Methods for Retinal Blood Vessel Image Extraction | Shafiulla Basha Shaik (u. a.) | Taschenbuch | Englisch | 2022 | LAP LAMBERT Academic Publishing | EAN 9786204752228 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. …

Condizione: New.

Taschenbuch. Condizione: Neu. Méthodes d'apprentissage en profondeur pour l'extraction d'images de vaisseaux sanguins rétiniens | Shafiulla Basha Shaik (u. a.) | Taschenbuch | Französisch | 2023 | Editions Notre Savoir | EAN 9786205905173 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.…

Condizione: New.

Condizione: New.

Taschenbuch. Condizione: Neu. Metodi di apprendimento profondo per l'estrazione dell'immagine dei vasi sanguigni retinici | Shafiulla Basha Shaik (u. a.) | Taschenbuch | Italienisch | 2023 | Edizioni Sapienza | EAN 9786205905296 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. …

Taschenbuch. Condizione: Neu. Métodos de aprendizado profundo para extração de imagens de vasos sanguíneos da retina | Shafiulla Basha Shaik (u. a.) | Taschenbuch | Portugiesisch | 2023 | Edições Nosso Conhecimento | EAN 9786205905302 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. …

Taschenbuch. Condizione: Neu. Deep-Learning-Methoden für die Bildextraktion retinaler Blutgefäße | Shafiulla Basha Shaik (u. a.) | Taschenbuch | 132 S. | Deutsch | 2023 | Verlag Unser Wissen | EAN 9786205905159 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.…

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -As a weakly supervised learning technique, neural network (NN) has shown an advantage over supervised learning methods for automatic detection of diabetic retinopathy (DR): only the image-level annotation is needed to achieve both detections of DR images and DR lesions, making more graded and de-identified retinal images available for learning. However, the performance of existing studies on this technique is limited by the use of handcrafted features. We propose a NN method for DR detection, which jointly learns features and classifiers from data and achieves a significant improvement on detecting DR images and their inside lesions. Specifically, a pre-trained neural network is adapted to achieve the patch-level DR estimation, and then global aggregation is used to make the classification of DR images. 72 pp. Englisch.…

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Morphological Image Processing is an important tool in the Digital Image Processing, since that science can rigorously quantify many aspects of the geometrical structure of the way that agrees with the human intuition and perception. The Morphological Image Processing is based on geometrically altering image structure. Based on four basic operations of Dilation, Erosion, Opening and Closing, one can construct a class of Morphological Image Processing Tool, which can be used in the place of a Linear Image Processing. Whereas the Linear Image Processing sometimes distort the underlying geometric form of an image, but in Morphological image Processing, the information of the image is not lost. The Morphological Image Processing is implemented and successfully tested in Medical Image Analysis: Detection of Tuberculosis, Industrial Automation: Printed circuit board Inspection, etc. 112 pp. Englisch.…

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Shaik Shafiulla BashaDr. S. Shafiulla Basha is working as an Assistant Professor in the Department of ECE at Y.S.R. Engineering College of Yogi Vemana University, Proddatur, India. He published 20 research articles in various journal. …

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The intelligent transportation system has received a lot of attention in recent years. Vehicle detection is an important task in this area where vehicle counting and classification are two important applications. Taking the size of vehicles and illumination factor into consideration the detection remains a challenge. To overcome the above problem we propose aVision-Based Discernment and Counting of Vehicles in Low Illumination Using Deep Learning, In the proposed system, we enhance the low illumination image using the Dual-channel prior-based method. By using the segmentation method the highway road is first extracted and biased into two areas namely remote area and proximal area. Here we use the YOLOv3 network, by placing the above two areas in this network, we can detect the type and position of the vehicle. Finally, by using the ORB algorithm we can judge the direction of the vehicle and obtain a number of different vehicles. The results obtained are such that the accurate count of vehicles especially for small-sized vehicles in low illumination. 108 pp. Englisch.…

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The changes in the retinal blood vessel features are used to diagnose multiple diseases and detect them at an early stage. In order to detect these changes a very crucial step is involved which is called as vessel segmentation process. Different diseases affect retinal vessels like neovascularization in diabetic retinopathy, heart stroke, and cardiovascular diseases. Retina image analysis plays a vital role in the medical diagnosis of multiple diseases. Diabetic retinopathy is considered one of the dreadful diseases that damage the retina and leads to vision loss. So segmentation of these blood vessels guides the ophthalmologists to assess the disease intensity accurately. It was observed that retina blood vessel structures are treated as an indispensable element for ophthalmologists in assessing cardiovascular diseases hence there is a great need to segment these vessel structures accurately which can be accomplished only through computer-aided diagnostic algorithms. In this book, an attempt is made to fulfill the need for accurate, robust, and fast automated vessel segmentation methods by investigating different works of image segmentation algorithms and techniques. 148 pp. Englisch.…

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Shaik Shafiulla BashaS. Shafiulla Basha, working as an Asst Professor, Dept of ECE, Y.S.R. Engg College of Yogi Vemana University, Proddatur, Y.S.R KADAPA, 516360, A. P, India. Obtained B.Tech from Sri Venkateswara University Colleg. …

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Morphological Image Processing is an important tool in the Digital Image Processing, since that science can rigorously quantify many aspects of the geometrical structure of the way that agrees with the human intuition and perception. The Morphological Image Processing is based on geometrically altering image structure. Based on four basic operations of Dilation, Erosion, Opening and Closing, one can construct a class of Morphological Image Processing Tool, which can be used in the place of a Linear Image Processing. Whereas the Linear Image Processing sometimes distort the underlying geometric form of an image, but in Morphological image Processing, the information of the image is not lost. The Morphological Image Processing is implemented and successfully tested in Medical Image Analysis: Detection of Tuberculosis, Industrial Automation: Printed circuit board Inspection, etc.…

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The intelligent transportation system has received a lot of attention in recent years. Vehicle detection is an important task in this area where vehicle counting and classification are two important applications. Taking the size of vehicles and illumination.…

Condizione: New. Print on Demand.

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -As a weakly supervised learning technique, neural network (NN) has shown an advantage over supervised learning methods for automatic detection of diabetic retinopathy (DR): only the image-level annotation is needed to achieve both detections of DR images and DR lesions, making more graded and de-identified retinal images available for learning. However, the performance of existing studies on this technique is limited by the use of handcrafted features. We propose a NN method for DR detection, which jointly learns features and classifiers from data and achieves a significant improvement on detecting DR images and their inside lesions. Specifically, a pre-trained neural network is adapted to achieve the patch-level DR estimation, and then global aggregation is used to make the classification of DR images.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 72 pp. Englisch.…

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The intelligent transportation system has received a lot of attention in recent years. Vehicle detection is an important task in this area where vehicle counting and classification are two important applications. Taking the size of vehicles and illumination factor into consideration the detection remains a challenge. To overcome the above problem we propose aVision-Based Discernment and Counting of Vehicles in Low Illumination Using Deep Learning, In the proposed system, we enhance the low illumination image using the Dual-channel prior-based method. By using the segmentation method the highway road is first extracted and biased into two areas namely remote area and proximal area. Here we use the YOLOv3 network, by placing the above two areas in this network, we can detect the type and position of the vehicle. Finally, by using the ORB algorithm we can judge the direction of the vehicle and obtain a number of different vehicles. The results obtained are such that the accurate count of vehicles especially for small-sized vehicles in low illumination.…

Condizione: New. PRINT ON DEMAND.

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The changes in the retinal blood vessel features are used to diagnose multiple diseases and detect them at an early stage. In order to detect these changes a very crucial step is involved which is called as vessel segmentation process. Different diseases affect retinal vessels like neovascularization in diabetic retinopathy, heart stroke, and cardiovascular diseases. Retina image analysis plays a vital role in the medical diagnosis of multiple diseases. Diabetic retinopathy is considered one of the dreadful diseases that damage the retina and leads to vision loss. So segmentation of these blood vessels guides the ophthalmologists to assess the disease intensity accurately. It was observed that retina blood vessel structures are treated as an indispensable element for ophthalmologists in assessing cardiovascular diseases hence there is a great need to segment these vessel structures accurately which can be accomplished only through computer-aided diagnostic algorithms. In this book, an attempt is made to fulfill the need for accurate, robust, and fast automated vessel segmentation methods by investigating different works of image segmentation algorithms and techniques.…

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Morphological Image Processing is an important tool in the Digital Image Processing, since that science can rigorously quantify many aspects of the geometrical structure of the way that agrees with the human intuition and perception. The Morphological Image Processing is based on geometrically altering image structure. Based on four basic operations of Dilation, Erosion, Opening and Closing, one can construct a class of Morphological Image Processing Tool, which can be used in the place of a Linear Image Processing. Whereas the Linear Image Processing sometimes distort the underlying geometric form of an image, but in Morphological image Processing, the information of the image is not lost. The Morphological Image Processing is implemented and successfully tested in Medical Image Analysis: Detection of Tuberculosis, Industrial Automation: Printed circuit board Inspection, etc.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 112 pp. Englisch.…

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The intelligent transportation system has received a lot of attention in recent years. Vehicle detection is an important task in this area where vehicle counting and classification are two important applications. Taking the size of vehicles and illumination factor into consideration the detection remains a challenge. To overcome the above problem we propose aVision-Based Discernment and Counting of Vehicles in Low Illumination Using Deep Learning, In the proposed system, we enhance the low illumination image using the Dual-channel prior-based method. By using the segmentation method the highway road is first extracted and biased into two areas namely remote area and proximal area. Here we use the YOLOv3 network, by placing the above two areas in this network, we can detect the type and position of the vehicle. Finally, by using the ORB algorithm we can judge the direction of the vehicle and obtain a number of different vehicles. The results obtained are such that the accurate count of vehicles especially for small-sized vehicles in low illumination.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 108 pp. Englisch.…

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Los cambios en las características de los vasos sanguíneos de la retina se utilizan para diagnosticar múltiples enfermedades y detectarlas en una fase temprana. Para detectar estos cambios, es necesario un paso crucial que se denomina proceso de segmentación de vasos. Diferentes enfermedades afectan a los vasos de la retina, como la neovascularización en la retinopatía diabética, el infarto de miocardio y las enfermedades cardiovasculares. El análisis de imágenes de la retina desempeña un papel vital en el diagnóstico médico de múltiples enfermedades. La retinopatía diabética se considera una de las enfermedades más terribles que daña la retina y conduce a la pérdida de visión. Por ello, la segmentación de estos vasos sanguíneos ayuda a los oftalmólogos a evaluar con precisión la intensidad de la enfermedad. Se ha observado que las estructuras de los vasos sanguíneos de la retina son un elemento indispensable para que los oftalmólogos evalúen las enfermedades cardiovasculares, por lo que existe una gran necesidad de segmentar estas estructuras con precisión, lo que sólo puede lograrse mediante algoritmos de diagnóstico asistidos por ordenador. 124 pp. Spanisch.…

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The changes in the retinal blood vessel features are used to diagnose multiple diseases and detect them at an early stage. In order to detect these changes a very crucial step is involved which is called as vessel segmentation process. Different diseases affect retinal vessels like neovascularization in diabetic retinopathy, heart stroke, and cardiovascular diseases. Retina image analysis plays a vital role in the medical diagnosis of multiple diseases. Diabetic retinopathy is considered one of the dreadful diseases that damage the retina and leads to vision loss. So segmentation of these blood vessels guides the ophthalmologists to assess the disease intensity accurately. It was observed that retina blood vessel structures are treated as an indispensable element for ophthalmologists in assessing cardiovascular diseases hence there is a great need to segment these vessel structures accurately which can be accomplished only through computer-aided diagnostic algorithms. In this book, an attempt is made to fulfill the need for accurate, robust, and fast automated vessel segmentation methods by investigating different works of image segmentation algorithms and techniques.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 148 pp. Englisch.…