نتایج جستجو برای: otsu
تعداد نتایج: 700 فیلتر نتایج به سال:
The paper focuses on the domain of image segmentation by optimal approximations that minimally differ from the image of N pixels in the standard deviation or total squared error 2 N E . Although related approaches, namely Otsu methods [1, 2], K-means method [3] and Mumford-Shah model [4–7] have a long history, the opportunities of minimizing of the total squared error E are far from being...
Water extraction has an important significance in flood disaster management and environmental monitoring. Compared to optical sensor, Synthetic aperture radar (SAR), which has the properties of high resolution and all-weather acquisition, has been used for water extraction in this paper. Due to the presence of coherent speckles, which can be modeled as strong, multiplicative noise, water extrac...
The classification method for power load data of new energy grid based on improved OTSU algorithm is studied to improve the accuracy data. According idea two-dimensional visualization time series, GAF (Geographical Adaptive Fidelity) used transform current in into image grid. intra class dispersion introduced, and segment foreground background according pixel gray value one-dimensional inter va...
In recent times, there has been a huge increase in the average number of cases skin cancer per year, which sometimes become life threatening for humans. Early detection various diseases through automated techniques plays crucial role. However, presence numerous artefacts makes this task challenging. Dermoscopic images exhibit variations, including hair artefacts, markers, and ill-defined bounda...
The earth is continually being influenced by some actions such as flood, tornado and human artificial activities. This process causes the changes in land cover type. Thus, for optimal management of the use of resources, it is necessary to be aware of these changes. Today’s remote sensing plays key role in geology and environmental monitoring by its high resolution, wide covering and low cost...
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