Saeed Mirghasemi

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Sea target detection is a vital application for military and navigation purposes. A new supervised clustering method based on the combination of the PSO and FCM techniques is presented for the sea target detection problem. The color components of the target and non-target pixels in the RGB color space are used as features to train the classification(More)
—The necessity of proposing algorithms that are effective in noisy image segmentation is clear in many real-world applications. This paper proposes a new algorithm for severely noisy image segmentation by looking at the proper choice of feature, and feature manipulation. We are using Discrete Wavelet Transformation (DWT) as a tool to provide our method with(More)
This paper presents a simple and effective approach for target detection in sea images. In this regard, three renowned detection methods which are SVM, edge and corner detectors have implemented. They have been applied on an image independently, and then a combination between detected points have been made by sliding a 20×20 matrix. To decrease the false(More)