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PGA Based Thresholding Schemes for Image Segmentation

  • Kartonierter Einband
  • 288 Seiten
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In this book, the problem of image segmentation has been addressed using the notion of thresholding. Since the focus of this work ... Weiterlesen
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Beschreibung

In this book, the problem of image segmentation has been addressed using the notion of thresholding. Since the focus of this work is primarily on object/objects background classi cation and fault detection in a given scene, the segmentation problem is viewed as a classi cation problem. In this regard, the notion of thresholding has been used to classify the range of gray values and hence classi es the image. The gray level distributions of the original image or the proposed feature image have been used to obtain the optimal threshold. A Minimum Mean Square Error (MMSE) based FL and FB schemes have been proposed to deal with fault detection in a given scene whose histogram does not exhibit clear bimodality and almost becomes unimodal. Adaptive thresholding based schemes have been proposed to separate object and background in images with nonuniform lighting conditions.

Autorentext

Dr. P. Kanungo, Presently working as Associate Professor, Department of ETC Engg., C.V.Raman College of Engineering, Bhubaneswar, Odisha, India.Prof.P. K. Nanda, (Ex-Professor, NIT Rourkela), presently working as Professor, Department of ECE, ITER, Siksha 'O' Anusandhan University, Bhubaneswar, Odisha, India.

Produktinformationen

Titel: PGA Based Thresholding Schemes for Image Segmentation
Untertitel: Object and Background Classification
Autor:
EAN: 9783659252129
ISBN: 3659252123
Format: Kartonierter Einband
Herausgeber: LAP Lambert Academic Publishing
Genre: Elektrotechnik
Anzahl Seiten: 288
Gewicht: 447g
Größe: H220mm x B150mm x T17mm
Jahr: 2012
Untertitel: Englisch