In the face of the problem of high complexity of two-dimensional Otsu adaptive threshold algorithm, a new fast and effective Otsu image segmentation algorithm is proposed based on genetic algorithm. This algorithm replaces the segmentation threshold of the traditional two dimensional Otsu method by finding the threshold of two one-dimensional Otsu methods it reduces the computational complexity...

The paper focuses on the domain of image segmentation by optimal approximations that minimally differ from the image of N pixels in the standard deviation  or total squared error 2  N E  . Although related approaches, namely Otsu methods [1, 2], K-means method [3] and Mumford-Shah model [4–7] have a long history, the opportunities of minimizing of the total squared error E are far from being...

A detection system based on digital image processing and machine learning classification was developed to detect normal cancerous lung conditions. 340 data from LIDC –IDRI were processed through several stages. The first stage is pre-processing using three filter variations contrast stretching, which reduce noise increase contrast. segmentation process uses Otsu Thresholding clarify the ROI of ...

This paper presents a new method for unsupervised urban area extraction from SAR imagery. The image segmentation method combines variogram texture feature extraction with OTSU threshold segmentation method, to obtain the result as good as traditional classical algorithm and have much higher computational efficiency. TerraSAR-X image is used to validate the proposed method, and experimental resu...

As an indispensable material for animals, plants and human beings, obtaining accurate water body information rapidly is of great significance to maintain the balance ecosystems ensure normal production life beings. Due its independence time day weather conditions, synthetic aperture radar (SAR) data have been increasingly applied in extraction bodies. However, there a deal speckle noise SAR ima...

Petani selada hidroponik sering menghadapi masalah dalam memantau pertumbuhan dan perkembangan yang mereka tanam. Hal tersebut disebabkan oleh beberapa faktor, antara lain kurangnya keterampilan pengoperasian alat teknologi, serta kesibukan mengurus kegiatan pertanian lainnya. Beberapa penelitian telah dilakukan untuk memonitoring tanaman namun sistem dikembangkan hanya berfokus pada pengontrol...

In this paper, we report a breakthrough result on the difficult task of segmentation and recognition of coloured text from the word image dataset of ICDAR robust reading competition challenge 2: reading text in scene images. We split the word image into individual colour, gray and lightness planes and enhance the contrast of each of these planes independently by a power-law transform. The discr...


 The main aim of the Computer-Aided Detection/Diagnosis system is to assist radiologists in examining digital mammograms. Digital mammogram most popular screening technique for early detection breast cancer. One problems analysis presence pectoral muscles region with high intensity upper right or left side Media-Lateral Oblique views images. Therefore, it important remove this muscle from...

This paper developed and evaluated a quantitative image analysis method to measure the concentration of the nanoparticles on which alkaline phosphatase (AP) was immobilized. These AP-labeled nanoparticles are widely used as signal markers for tagging biomolecules at nanometer and sub-nanometer scales. The AP-labeled nanoparticle concentration measurement can then be directly used to quantitativ...