Thresholding is a type of image segmentation, where the pixels change to make easier analyze. In bi-level thresholding, in grayscale format transformed into binary format. The traditional methods for thresholding may be inefficient finding best threshold and take longer computation time. Recently, metaheuristic swarm-based algorithms were applied optimization different applications find optimal...

Eşik seçimi, görüntü bölütlemede önemli bir rol oynamaktadır. seçimiyle ilgili en faydalı yöntemler olarak minimum hata yöntemi, iteratif yöntem, entropi yöntemi ve Otsu bilinmektedir. Bu çalışmada eşikleme tekniği kullanılmaktadır. sayısının (K) artmasına bağlı problemin karmaşıklık düzeyi üstel artacağı için matematiksel yerine sürü zekâsı algoritması kullanılması daha uygun görülmektedir. Bu...

A new approach is presented to improve the face recognition accuracy. This approach is based on the contrast enhancement using high-frequency emphasize filtering and histogram equalization. In the presented method, image contrast and the global (or local) visualization are enhanced using digital filtering and equalizing the histogram of the pixel values over entire image. For this, first the fa...

The purpose of programmed dental segmentation is to identify the person based on dental computed tomography (CT) images. Teeth play important key role in forensic dentistry. We segment the teeth image. The segmentation process consists of Otsu thresholding, morphological processing, orthogonal lines and volume of interest (VOI). In this paper, a segmented tooth is useful for the feature extract...

The robustness of a fingerprint authentication system depend on the quality of the binarized fingerprint image. Since the uniqueness of a fingerprint image is determined by the minutiae points which are extracted from a binarized fingerprint image. A very robust binarization process is therefore essential to get the correct set of minutiae points. Thresholding is an effective tool for binarizat...

An image segmentation technique based on fuzzy entropy is applied for MR brain images to detect a brain tumor is presented in this paper. The proposed method performs image segmentation based on adaptive thresholding of the input MR images. The image is classified into two membership functions, whose member functions of the fuzzy region are Z-function and S-function. The optimal parameters of t...

In both ophthalmological and cardiovascular disease diagnosis, the accurate segmentation of retinal vessel tree has become prerequisite step for automatic or computer-aided diagnosis systems. Unlike typical foreground background in normal image processing, there are three problems making task even harder. First, color tends to be red everywhere, thus having a lower contrast than segmentation. S...

The firefly algorithm (FA), which is usually used in optimization problems, is a stochastic, population-based algorithm inspired by the intelligent, collective behavior of fireflies in nature. In the standard FA, each firefly in each neighborhood is compared with other fireflies, and the less-bright firefly moves toward the brighter one (in the maximization optimization). In fact, in the standa...