The main focus of this paper is on extracting features with SOund Navigation And Ranging (SONAR) sensing for further underwater landmark-based Simultaneous Localization and Mapping (SLAM). According to the characteristics of sonar images, in this paper, an improved Otsu threshold segmentation method (TSM) has been developed for feature detection. In combination with a contour detection algorith...

Currently, image processing-based systems have been widely applied in various fields, one of which is agriculture. The system can be used to classify fruit maturity. Tomato the agricultural products consumed by community. Therefore, requirement for ripe tomatoes increases. In this work, classification method based on processing grading maturity level tomato was developed distinguish into three ...

Governments and health authorities emphasize the importance of early detection breast cancer, usually through mammography, to improve prognosis, increase therapeutic options achieve optimum outcomes. Despite technological advances advent full-field digital mammography (FFDM), diagnosis abnormalities on mammographic images remains a challenge due qualitative variations in different tissue types ...

Thresholding is a simple but effective technique for image segmentation. In this paper, a general locally adaptive thresholding method using neighborhood processing is presented. The method makes use of local image statistics of mean and variance within a variable neighborhood and two thresholds obtained from the global intensity distribution. It can thus take advantage of local thresholding an...

By coupling the wavelet transform with a particular nonlinear shrinking function, the Red-telescopic optimal wavelet estimation of the risk (TOWER) method is introduced for removing noise from signals. It is shown that the method yields convergence of the 2 risk to the actual solution with optimal rate. Moreover, the method is proved to be asymptotically efficient when the regularization parame...

Cuckoo Search (CS) algorithm is a nature-inspired optimization (NIOA) with less control parameters that stable, versatile, and easy to implement. CS has good global search capabilities, but it prone local optima problems. As result, may be possible improve the classic algorithm's capability. Centered on fuzzy set theory, this paper introduces an improved version. The population of solutions bee...

Bruising is defined as damage of fruit tissue as a result of external forces which cause physical changes of texture or chemical changes of color, smell and taste. With the development in imaging technology, on-line detection of bruises on fruits & vegetables is feasible. Proposed system is developed for finding surface and subsurface defects along with their sizes in percentages with respect t...

In this paper, two methods are proposed which address the random sampling and compressed sensing recovery problems. The proposed random sampling recovery method is the Iterative Method with Adaptive Thresholding and Interpolation (IMATI). Simulation results indicate that the proposed method outperforms existing random sampling recovery methods such as Iterative Method with Adaptive Thresholding...