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The second is that this method is applied to the image of result the first steps to examine the connected components to each label to obtain the image of the aorta..
The results of image identification based on the process of color formation and representation into the matrix aims to facilitate the process of image
The image data classification using neuro-fuzzy expert system (NFES) is divided became of three partition, that is namely, pre-processing by fuzzy c-mean method, pattern recognition
The three phases are (1) skin segmentation based on a selected method and skin color space, (2) morphological-based image filtering for discarding non-face pixels, and (3)
In order to verify the proposed method this research use Matlab 7.1 to extract the features of the SAR image and other process such as normalization, smoothing and segmentation by using
Jurnal Nasional Pendidikan Teknik Informatika : JANAPATI | 304 MULTILEVEL THRESHOLDING OF COLOR IMAGE SEGMENTATION USING MEMORY-BASED GREY WOLF OPTIMIZER WITH OTSU METHOD, KAPUR,
Results and Discussions The image data used for the performance evaluation of the proposed method is divided into two categories of background images: simple figure 6a and 6b, and
METHODS Our automated method consists of the following steps: 1 Construct LV map from 201-Tl myocardium image database and chest radiograms of anterior-posterior AP projections 2
