Analyzing mammogram images is the most challenging task for radiologists in detecting breast cancer. Computer Aided Detection (CAD) plays major role in detecting such disease. Preprocessing, segmentation and detection are the processes involved in CAD. In this study, we have designed a CAD by improving the processes for the effective detection for breast cancer. Selective median filter has been...

This paper addresses the problem of segmenting dense range data containing curved surfaces. Segmentation is a crucial step in the processing of range data for applications in object recognition, measurement, reengineering and modeling. We propose a two stage process using model-based curvature classification as an initial grouping. Features based on differential geometry, mainly curvature featu...

To analyze coin image has to be segmented into two regions once of the coin and the area belonging to the background. We focus on the segmentation task as a preprocessing step for any automated text localization and feature extraction system. Firstly, we present a simple and flexible method for coin segmentation, based on double seed of region growing of coin on Gaussian distributions that allo...

Amaç: Bu çalışma; Çukurova bölgesi ikinci ürün koşullarında yetiştirilen soya bitkisinin tepe büyüme noktasında farklı dönemlerde meydana getirilen mekanik zararın, tohum verimi ile bazı tarımsal özellikler üzerine olan etkilerini belirlemek amacıyla yapılmıştır.Yöntem ve Bulgular: Çalışma, 2018 2019 yıllarında, Üniversitesi Ziraat Fakültesi, Tarla Bitkileri Bölümü Araştırma Alanında yetiştirme...

Accurate prediction of crop yields requires knowledge of the crop's develop-ment stage at critical times during the growing season. Various meteorological models have been developed to estimate crop development. However, the crop planting date, or equivalently, the date the crop reaches a particular crop devel-· opment stage generally is needed to ini-· tialize these models. Recently, efforts h...