Image Segmentation Based on 2D Otsu Method with Histogram Analysis

Zhang, Jun; Hu, Jinglu

doi:10.1109/csse.2008.206

Cited by 230 publications

(95 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…[10] used low pass filters coupled with the Sobel operator to obtain a classification rate of 74-80 %. Using skeleton extraction techniques Tsang [11] obtained an accuracy of 75 %. In all these techniques, it was assumed that the cyclone evolution followed a regular evolution pattern of formation, growth intensification and decay.…”

Section: Resultsmentioning

confidence: 99%

“…They used a low pass filter to remove noise followed by application of Sobel template to compute the gradient of the brightness of temperatures, which were subsequently analyzed. Zhang and Hu have also used a histogram based technique [11] for segmentation. these 252 images, 227 are EIR images and 15 are VIS images.…”

Section: Earlier Workmentioning

confidence: 99%

“…Zhang et.al. [8] also used the contour model to extract the cyclones. Pao [9] has used a region growing segmentation technique followed by image thresholding and slicing before typhoon image reconstruction is performed.…”

Section: Earlier Workmentioning

confidence: 99%

“…[11] procedure for galaxy images, an opening and flood filling operation was performed on the cyclone images. Opening is a morphological operation defined by erosion followed by dilation and is given as…”

Section: Openingmentioning

confidence: 99%

See 3 more Smart Citations

An Algorithm for Pre-Processing of Satellite Images of Cyclone Clouds

Dutta¹,

Banerjee²,

De³

2013

IJCA

View full text Add to dashboard Cite

Rapid advances in satellite imaging technologies have made it possible to obtain images of the atmosphere using different modalities and accordingly, make weather predictions. The progress of cyclone storms is one such area where cloud intensity images exhibit characteristic patterns at various stages of evolution. These patterns have been classified using Dvorak's technique, which is based on expert human judgment. Recent research efforts are being made to perform a computer analysis of these intensity patterns in order to make the classification process more objective. However, in order to perform an analysis of these image intensity patterns, the satellite images of different modalities need to be preprocessed to extract the dominant cyclone cloud patterns. This paper describes our algorithm to obtain cloud intensity contours to be used for pattern analysis. Results obtained using Visible (VIS) and Enhanced Infra-Red satellite images of cyclones have been found to be promising.

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Earlier Workmentioning

confidence: 99%

Section: Earlier Workmentioning

confidence: 99%

Section: Openingmentioning

confidence: 99%

See 2 more Smart Citations

An Algorithm for Pre-Processing of Satellite Images of Cyclone Clouds

Dutta¹,

Banerjee²,

De³

2013

IJCA

View full text Add to dashboard Cite

show abstract

“…Esta característica levou a aplicação de uma segmentação por histograma, utilizando o método de Otsu [7] para definição do limiar de binarização. Tal métodoé amplamente utilizado em imagens bimodais que apresentam classes de objetos bem definidas [8]. A Figura 4 ilustra o resultado da binarização e as duas classes identificadas, fundo preto e axônios brancos.…”

Section: Introductionunclassified

Método Automático para Morfometria de Membranas Neuronais Utilizando Perceptron de Múltiplas Camadas e Código de Cadeia Diferencial

Costa¹,

Andrade²,

Monteiro³

et al. 2015

Anais Do 12. Congresso Brasileiro De Inteligência Computacional

View full text Add to dashboard Cite

Detection of periodontal bone loss in mandibular area from dental panoramic radiograph using image processing techniques

Vigil

Bharathi

2021

Concurrency and Computation

View full text Add to dashboard Cite

Medical imaging plays the vital role in diagnosis of abnormalities. Periodontitis is a common chronic inflammatory disease damaging the soft tissue that untreated can lead to loss of bone, which supports the teeth. The severity of periodontitis is correlated to pocket depth in alveolar area. Even if analyses of the pocket depth can be manually performed, an automatic assistive tool can drastically help radiologists conduct more accurate analyses. In the proposed research, image processing algorithms were developed to compute pocket depth and diagnose the periodontitis. Radiologists manually segmented 350 panoramic radiographic images, dividing them into normal and periodontitis. The same dataset is used in our work to validate the Classification algorithm. The images are preprocessed with median filter and histogram equalization to improve the contrast and then segmented using two‐dimensional‐Otsu thresholding method into teeth and bony area in the mandibular region. Normal pocket depth of 3 mm as reported by American Academy of Periodontology is equivalently converted to pixel height in the radiographic images. Based on this pocket depth rule based classification method classifies the images into normal and periodontitis. The proposed work achieved 91.34% accuracy, 92.8% sensitivity, and 95.47% F‐score in classifying the dental panoramic radiography.

show abstract

Image Segmentation Based on 2D Otsu Method with Histogram Analysis

Cited by 230 publications

References 8 publications

An Algorithm for Pre-Processing of Satellite Images of Cyclone Clouds

An Algorithm for Pre-Processing of Satellite Images of Cyclone Clouds

Método Automático para Morfometria de Membranas Neuronais Utilizando Perceptron de Múltiplas Camadas e Código de Cadeia Diferencial

Detection of periodontal bone loss in mandibular area from dental panoramic radiograph using image processing techniques

Contact Info

Product

Resources

About