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Object Removal from an Image using Image Inpain...
37,00 € *
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It is a really good platform to publish research work and it gives me immense pleasure while publishing this Work here. This book involves different techniques which are mathematical computations which enhance the image quality of images. In these techniques the images are manipulated for reducing the sensor errors, noises and other unwanted effects. One of the image processing technique known as the image inpainting is used for improving the image quality by reconstruction of the defected image or noisy image. In this proposed book the image inpainting technique is used to remove an object from an image.

Anbieter: Dodax AT
Stand: 24.01.2020
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Object Removal from an Image using Image Inpain...
35,90 € *
ggf. zzgl. Versand

It is a really good platform to publish research work and it gives me immense pleasure while publishing this Work here. This book involves different techniques which are mathematical computations which enhance the image quality of images. In these techniques the images are manipulated for reducing the sensor errors, noises and other unwanted effects. One of the image processing technique known as the image inpainting is used for improving the image quality by reconstruction of the defected image or noisy image. In this proposed book the image inpainting technique is used to remove an object from an image.

Anbieter: Dodax
Stand: 24.01.2020
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Object Categorization from Image Search
29,90 € *
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Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. In computer vision, the problem of object categorization from image search is the problem of training a classifier to recognize categories of objects, using only the images retrieved automatically with an Internet search engine. Ideally, automatic image collection would allow classifiers to be trained with nothing but the category names as input. This problem is closely related to that of content-based image retrieval (CBIR), where the goal is to return better image search results rather than training a classifier for image recognition.

Anbieter: Dodax AT
Stand: 24.01.2020
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Object Categorization from Image Search
29,00 € *
ggf. zzgl. Versand

Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. In computer vision, the problem of object categorization from image search is the problem of training a classifier to recognize categories of objects, using only the images retrieved automatically with an Internet search engine. Ideally, automatic image collection would allow classifiers to be trained with nothing but the category names as input. This problem is closely related to that of content-based image retrieval (CBIR), where the goal is to return better image search results rather than training a classifier for image recognition.

Anbieter: Dodax
Stand: 24.01.2020
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Wuzhen Image: Coach Day Tour with Lunch from Ha...
133,08 € *
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Wuzhen Image: Coach Day Tour with Lunch from Hangzhou

Anbieter: Viator – Ein Trip...
Stand: 24.01.2020
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CBIR From Fruit Image Database and Recognition
32,90 € *
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A technique which uses visual contents of images to search images from large image database is known as Content Based Image Retrieval (CBIR).. This book provides the core concepts of CBIR along with some algorithms based on color, shape and texture of fruit images. This books describes - - The concepts of CBIR, applications of CBIR, Architecture of CBIR system and issues in CBIR system. - Various feature extraction methods, similarity measure, image segmentation. - The method of retrieval of fruit images based on color . - Retrieval of fruit images using texture and color features. - Segmentation of multifruit images using L a b space. - Recognition of fruit images using shape descriptor and color features.

Anbieter: Dodax
Stand: 24.01.2020
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CBIR From Fruit Image Database and Recognition
33,90 € *
ggf. zzgl. Versand

A technique which uses visual contents of images to search images from large image database is known as Content Based Image Retrieval (CBIR).. This book provides the core concepts of CBIR along with some algorithms based on color, shape and texture of fruit images. This books describes - - The concepts of CBIR, applications of CBIR, Architecture of CBIR system and issues in CBIR system. - Various feature extraction methods, similarity measure, image segmentation. - The method of retrieval of fruit images based on color . - Retrieval of fruit images using texture and color features. - Segmentation of multifruit images using L a b space. - Recognition of fruit images using shape descriptor and color features.

Anbieter: Dodax AT
Stand: 24.01.2020
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Image Restoration by Removing Noise from Images
37,00 € *
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One of the long-standing challenges in photography is noise. Noise artifacts are generated from relative motion between a camera and a scene during exposure. While noise can be reduced by using a shorter exposure, this comes at an unavoidable trade-off with increased noise. Therefore, it is desirable to remove noise computationally. To remove noise, we need to (i) estimate how the image is noised (i.e. the blur kernel or the point-spread function) and (ii) restore a natural looking image through deconvolution. Blur kernel estimation is challenging because the algorithm needs to distinguish the correct image blur pair from incorrect ones that can also adequately explain the blurred image. Deconvolution is also difficult because the algorithm needs to restore high frequency image contents attenuated by noise. This work started by development of Image deblurring using proposed algorithm, which is Modified RadonMAP algorithm.

Anbieter: Dodax AT
Stand: 24.01.2020
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Design a New Methodology for Fog Removing from ...
41,10 € *
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In this book, we propose an effective fog-free methodology for remove fog from input image. In our work, firstly, the original image is converted from RGB to YCbCr. Secondly, compute the intensity component of the YCbCr image and key observation of the all pixels of the image. Most local patches in fog-free outdoor images contain some pixels which have very low intensities in at least one color channel. Using this methodology with the fog image, we can directly estimate the local white balancing of the image, global white balancing of the image, median of the image and mean of the image.After getting all above details, we apply on original image and finally show the fog free image.

Anbieter: Dodax AT
Stand: 24.01.2020
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