Tag Archives: Segmentation

Demographic Effect on Switching Behaviour among Bank Customers in Ghana (Published)

The issues that confront banks in their quest to offer superior value are as a result of effective segmentation and this presents marketers with a huge responsibility of providing the right products for customers to be delighted. However, the characteristics of customers are not the same; hence; expectations also differ in the same regard. This makes it paramount to understand the demographic variables such as age, income and education and how these variables impact a customers’ likelihood to switch. The study utilized a cross-sectional survey of 987 bank customers and a convenience sampling technique was employed. The data was analysed with Cross-tabulation and Chi-square. The study concludes that age, income and education are significant to the tendency for customers to switch banks.

Keywords: Bank Customers, Demographic Characteristics, Segmentation, Switching Behaviour


The main objective of this study is to identify market segment for beach tourism products and services for promoting Cox’s Bazar Beach as a tourist destination. The study is based on primary as well as secondary data and sample size was about 308. Result shows a clear distinction between a male, older group of tourists and newly married couple, younger age and married with children depending on parents. The study also revealed that tourists have given a great preference to natural attraction along with enjoying sea waves and sunset view, medium class accommodation facility, safety and security, sanitation and cleaning, caring and waste disposal facility and emergency service. So, to occupy the best position in the mind of tourist the tourism managers and marketers should provide up to mark services as tourists expect. This finding can be useful to the policy makers and marketers of beach tourism at Cox’s Bazar in formulating strategies for their products and services considering the findings of the study.

Keywords: Beach Tourism, Destination attributes, Segmentation, Target market


Advanced techniques of medical image processing and analysis find widespread use in medicine. Various imaging modalities like CT scan, MRI, ultrasound are being used for imaging brain tumors. In recent years, MRI has emerged as the best for clear identification of cancer and other anomalies in breast, prostate, liver, brain etc. The tumor detection becomes more complicated for the huge image database especially when edema is present with the tumor. So a software approach is needed to aid the accurate, faster clinical diagnosis.

Proposed work focuses on the detection of brain tumor and edema from MRI images using MATLAB and clear distinction between tumors and edema. The objective is to provide advanced image processing tools in a format that is user friendly and is inexpensive too. The study aims to introduce an algorithm which incorporates useful operations on the MRI brain image including filtering, enhancement, arithmetic operations, segmentation, extracting region of interest, and morphological operations. Here we detect the tumor and edema, segment them and the final image having clear boundary between edema and tumor is superimposed on the original image to highlight the tumor and edema boundaries. Our study aims to help the physician for surgical planning.


Keywords: Edema, Histogram Equalization, Image Superimposition, MRI images, Segmentation, Sobel Edge Detection Filter, co-resemblance