Abstract—Image segmentation is very important step of image analysis which is used to partitioned image into several homogenous regions by classifying pixels of whole image into different regions that exhibit similar characters. The result of image segmentation is a set of sections that together cover the whole image. This paper has presented a review on various image segmentations techniques l...

Multilevel image thresholding is an important operation in many analyses which is used in many applications. Selecting correct thresholds is a critical issue. In this paper, Bacterial Foraging (BF) algorithm based on Tsallis objective function is presented for multilevel thresholding in image segmentation. Experiments to verify the efficiency of the proposed method and comparison to Genetic Alg...

In this thesis, 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 classification and fault detection in a given scene, the segmentation problem is viewed as a classification problem. In this regard, the notion of thresholding has been used to classify the range of gray values and hence cl...

0950-7051/$ see front matter 2011 Elsevier B.V. A doi:10.1016/j.knosys.2011.02.013 ⇑ Corresponding author. E-mail address: [email protected] (K. Tang). Image segmentation is one of the most critical tasks in image analysis. Thresholding is definitely one of the most popular segmentation approaches. Among thresholding methods, minimum cross entropy thresholding (MCET) has been widely adopted fo...

Image segmentation is the technique in which an image into meaningful parts .It plays an important role in the image analysis and computer version. GA algorithm are evolutionary in nature so, it proved to be very time consuming. The genetic algorithm guarantees the local optimization but does not guarantees global optimization. The overall result depends on the selection of poor population may ...

In this paper the problem of image segmentation is addressed using the notion of thresholding. A new approach based on Genetic Algorithm (GA) is proposed for selection of threshold from the histogram of images. Specifically GA based crowding algorithm is proposed for determination of the peaks and valleys of the histogram. Experimental results are provided for histogram with bimodal feature, ho...