Patient death ratio because of lung cancer is much higher than other types of cancer. Early detection is a must to take effective steps towards curing this disease. Medical researchers have proven that in most of the cases nodules or mass tissues in lung is an indication of lung cancer. Detection of these abnormalities at an early stage can help doctors to take proper steps towards curing this disease. The aim of this study is to make an intelligent semi-automated system that can assist detection of lung mass tissues from X-ray of chest. Simple image processing techniques like morphological operations, template matching etc. are used here which made the proposed method easily implementable, resource effective and efficient. A test on JSRT image database using this method shows accuracy and precision of 76.12% and 76.16% respectively.